MEDIjobs connects top hospitals and medical practices with relevant candidates, actively looking

MEDIjobs

Medical care is a vital part of our lives. This aspect became even more evident during the Spring of 2020, when, suddenly, the entire world got hit by a pandemic. It might sound like a cliche, but it became clearer to all of us that technology can play a big part in the medical recruitment process. Having the right people with the right set of skills who can immediately start work and help patients became an urgent matter. That’s why MEDIjobs, the career marketplace for healthcare professionals, came to me and the Durran studio to ask for help regarding their platform. The main challenge? To streamline the process of hiring through the platform. Read on to see the entire Design Sprint process and the solutions we found. Outcome summary During our Durran Design Sprint workshop, we went from identifying the main challenge of MEDIjobs’ platform — scheduling interviews between candidates and medical practices to having a tested and validated solution that streamlines the interaction between them, saving time for all those involved. This results in increased user satisfaction and reduced load on the support team, while guiding the customers through the whole hiring process. Also, the newly proposed solution aims to increase the revenue generated through the platform.‍ — Context What is MEDIjobs? is a career marketplace for healthcare professionals that provides fast access to relevant candidates for medical practices in Romania and the US. MEDIjobs As with many other services, the medical sector started to search for ways to digitize its processes. During the pandemic in 2020, the platform saw a 227% increase in hiring needs. MEDIjobs’ main goal was to become the most relevant platform for both medical clinics and professionals. But for this to happen, they knew that more work had to be done to ensure that the platform efficiently solves their customers’ needs. I have to admit; this growth mindset is precisely what drew me to this project when I first got in contact with its founders, and . This approach and passion totally match the core belief we have here at Durran — we believe that the startups of the future should focus on people and the reality they live in, and you can’t do all of that without knowing and fully understanding their context. Catrinel George Hagivreta The Problem We started our collaboration with a to identify the main pain points with insights from MEDIjobs’ founders. After going through the process — which meant mapping the competitors, analyzing the market and the context of the product, defining a user persona, and a customer journey map — we had a better understanding of where users got stuck. UX Discovery Workshop The main issue: the process of scheduling interviews was not happening on the platform. And, as you may expect, this was putting a lot of pressure on the customer support team as they had to schedule calls manually. Even more frustrating was that the company was losing out on potential revenue because they didn’t know if the hiring process was successful or not. The Team For the workshops, we tailored the team set up to maximize the outcomes at each step. The Durran team was in charge of facilitating the workshops and preparing the designs. From the MEDIjobs team, we had: Product Marketing ManagerSales ManagerSenior recruiter CEO & Co-founder — Catrinel — also the decider during the workshopCOO & Co-founder — George The Process UX Discovery Workshop When Catrinel first reached out, the issue she wanted to address was related to some key screens that needed to be redesigned. But, we soon realized that a simple redesign would not solve the deeper problems. The — which is the first part of our Durran Design Sprint process — really opened our eyes. So, we took things one by one. UX Discovery Workshop First, we had to understand the entire context in which the product operates. We started the remote workshop with a structured discussion covering the most critical aspects of the business — the product, the problems it solves, competition, main stakeholders, and the value created for its customers. The company operates in 2 markets, the United States and Romania. Our main focus was the Romanian market, so we put together a user persona that would help everyone involved get a clearer picture of what the actual people who are using the product look like. The customers. Through the Customer Journey Map, we were interested in the way these people interact with the MEDIjobs platform, the way they behave. This is where things got very interesting because we soon identified a tricky onboarding section. But besides this somewhat expected issue, we also noticed that the platform didn’t properly cover all the steps necessary for scheduling interviews. Instead of completing the entire recruiting process within the platform, customers were leaving the app and scheduling interviews through the support team. Basically, they were making phone calls or sending emails instead of synchronizing with candidates through the platform. On top of that, once people left the app, they never came back. So, MEDIjobs had no real idea how many people were actually getting hired through their platform. What did we do next? We used all the insights and information collected during the workshop to fill out the Lean Canvas. Then, presented the findings back to the founders of MEDIjobs, which agreed to run a Design Sprint workshop, fully remote to solve the main challenge we discovered; the process of scheduling interviews while considering both sides’ availability and probably, the most urgent aspect, to keep them in the platform throughout the entire process (user retention). Outcomes A common understanding of what MEDIjobs does, its target audience, and the problems the product solves for both medical centers and professionals.A clear and defined list of competitors, user persona, and Customer Journey Map.An overview of how customers are currently using the platform and their main challenges.Clearly defined next steps to solve these problems and help the client increase business metrics. Design Sprint Once we had established the challenge for the Design Sprint, the Durran team used the insights acquired during the UX Discovery Workshop to prepare and pre-populate the exercises. We like to do this because we want everyone to have a smooth remote workshop experience. And, before jumping straight into the workshop, we sent out a questionnaire to MEDIjobs’ Sprint team to gather even more insights about the challenge. Day 1 — Aligning the team regarding the challenge, future goals, and target The first part of the day was all about aligning and understanding the main goal of the Design Sprint. We talked about the process, set expectations, and familiarized ourselves with the tools we would use ( and ) before diving into the actual workshop. Miro Butter To understand all aspects of our challenge, we started with the . The founders talked us through the recruiting process, which made it easier for all of us to understand how crucial this aspect is for the entire business. To get to the root of the challenge and remove biases, we invited existing customers to show us how they’re interacting with the product and walk us through their hiring process. Even though the MEDIjobs team started the project believing that their clients don’t use and won’t use digital calendars, we collected insights that would point in the opposite way. Expert Interviews In the meantime the whole team was taking notes, to further explore the challenges and generate new perspectives. Then grouped the How Might We notes based on the addressed topics to make sense of all this data. How Might We Now, we couldn’t just go ahead without taking a look into the future. The l is the next exercise in which we asked everyone in the team where they see MEDIjobs in 2 years if things went well. Giving each team member the opportunity to express their perspectives, it was time to pick the goal that best reflects the company’s mission: MEDIjobs to become the Uber of recruiting — Easy and fast. But for this to happen, we still had quite a big challenge to solve. 2 Years Goa We then wanted to uncover the challenges that might occur along the way, through writing down the . As you would expect, each team member had his own vision. Sprint Questions We took a look at all of the post-its and then started the voting process. Then the decider, Catrinel, selected the ones she felt were most critical for achieving our established goal. So for the rest of the workshop, we focused on those. Based on the insights from the Customer Journey Map we created during the UX Discovery Workshop, the Durran team partially filled out . We used that as a starting point, and went through the flow with the MEDIjobs team, starting to add the missing pieces of the puzzle. Then, we completed the map by adding the top-voted How Might We notes and selecting the target area we would be working on during the Sprint. the map Now it was time to put our detective glasses on and take a closer look at how other companies solved similar challenges. Having the target area and challenge in mind, using the approach, everyone — from the Durran & MEDIjobs teams — spent 45 min of independent, offline work to collect insightful examples from other companies. We then gathered all this information in a structured way and put it into the Design Sprint Miro board for everyone to take a look at all these solutions. Lightning Demos Day 2 — Getting inspired and coming up with solutions Our second day of the remote Design Sprint workshop started with a walkthrough of the collected — from platforms like Rally.co, Calendly, Setmore. It may sound surprising but we took inspiration even from Clubhouse, which is a great example that sometimes you may need to take a look in different markets to find new ideas. inspiration pieces Then, everybody had the chance to vote on the exciting parts before selecting the one Lightning Demo they found the most inspiring. There was already a lot of information and we felt that we should create a little summary before moving on. So, the next step was to grab a piece of paper and everybody, individually, took notes about the selected 2 Year Goal, Sprint Questions, target area on the map, and also the Lightning Demos and How Might We’s. To add a bit of visual to our notes we moved to and then the , which was our favorite exercise. We had to rapidly sketch 8 ideas in 8 minutes. Exciting, right? It was pretty interesting because this exercise is meant to explore ideas for our final solution, also called the . Doodling Crazy 8s Concept Sketch Sometimes, a pen and paper are all you need, so this is what we went for. Using a pen and boring piece of paper, each member of the team had to sketch their vision of how to solve the challenge. Now, of course, we didn’t expect them to be beautifully designed, the only request was to be self-explanatory so that each team member can easily understand the concept. Then, we moved them to Miro. Day 3 — Selecting the Concept and creating the Storyboard The last day with the Sprint team started with voting on the specific aspects each liked in the submitted concepts. Why was this important? It helped us create a heatmap of the most exciting areas. Then, each team member selected the concept that he felt best solved our challenge and answered our Sprint Questions, validating his choice to the team. After understanding each opinion, MEDIjobs’ CEO, Catrinel, the decider in the workshop, expressed her own choice regarding the concept she wanted to move forward with and the reason behind that. Once we had a clearer image in mind, we wanted to create a short , just to highlight how a customer would interact with the proposed solution. Everyone in the Sprint team wrote down their version and then presented it. Similar to the Concept Sketch, we had a voting session, and then the decider selected the final version used in the Storyboard. user flow The last part of our day was spent creating the backbone of our prototype — the . First, we laid out the selected flow on the board, and then we added parts of the concepts that matched the description. Just like making a puzzle. Storyboard Finally, we added all the needed elements at each step on post-its to have a complete picture for prototyping. Day 4 — Creating the clickable prototype Starting from the Storyboard and using all the insights gathered during the workshop, it was time to create a clickable prototype for the improved interview scheduling flow. We wanted to test this new solution with 5 of MEDIjobs’ customers. We used Figma to design the screens. Day 5 — Testing the new solution with 5 MEDIjobs users The last day of the Design Sprint workshop — and probably the most exciting one — was all about with 5 of MEDIjobs’ customers. testing our solution For this to happen, we participated in the call to help with guidance, if needed, ask follow-up questions, observe and take notes in Miro, on our Wall of Truth. Now, we at Durran, encourage our clients to get in contact with their users and lead the testing process, because this way, they’ll feel safe to do it all over again, later on, becoming a habit. How do you think the users reacted to the proposed interview scheduling flow solution? It’s straightforward. It is super ok. It’s way better, more intuitive than what is right now. On top of this positive feedback we received, we also learned how important it is to remove biases throughout the process. Through the Expert Interviews and when testing the solution with real customers, we actually found out that these users would prefer to sync their calendars with the platform if that resulted in a better outcome. Also, features we planned to add later, like a chat functionality to talk with the candidate or an option to schedule multiple interview stages with the same candidate, were well received by the customers we tested with. I really like this option to add another interview. I don’t have to call you anymore. We can even message each other — cool. We loved seeing how much they appreciated MEDIjobs’ impact on their lives and business. Without this platform, I don’t know how I could hire. Not everything was perfect, obviously, but that’s also part of the process. After the user testing session, we had to do some minor tweaks, like updating some labels that were too confusing or working on the chat functionality, and prepare the designs for development.‍ “The project with Daniel started from our decision to fix one important flow from our platform — how candidates and medical practices manage to schedule interviews that take into account both sides availability. This needed to be fixed ASAP since it was the major point in our application where users were dropping off due to bad UX. The design sprint took 5 days and it was quite intense, but it was well worth it. The sprint forced us to move fast through evaluating the problem, finding solutions, prototype and test. Throughout the process, Daniel was extremely professional in both managing the exercises and facilitating the flow of the conversation. I’ve previously worked with Daniel on several design projects, so I knew the depth of his expertise, but this project had a major impact on our product roadmap and business overall. “ — Catrinel Hagivreta — CEO Outcomes Alignment between the MEDIjobs team members about the target customers, challenges, solutions used, and next goals Generated 6 new concepts to solve our challenge and 1 clickable prototype Tested and validated the solution for scheduling interview candidates Idea bank for the team that they can refer back to Feedback At the end of each workshop, we ask for feedback from the teams we work with to improve. Even if there were new tools or some get a bit lost through the multitude of Miro boards, here are some of the thoughts we got from the MEDIjobs team: I liked that we uncovered a lot of ideas and voted on the ones we considered the best. I loved the way we worked together, with ideas coming from unlikely sources. Very intense and tiring in parts, but with good reason. I really liked the wireframe exercise. I think this particular exercise helped everyone visualize better what needs to be done. Overall, the workshop was efficient. Next Steps Do you have questions or want to experience the power of a Durran Design Sprint for your own business? , and let’s talk about it. We’re here to help meaningful startups live up to their potential and positively impact customers. Send over an email We also put together a straight away. PDF version of this case study that you can download

How to Build a Healthy Medical Recruitment Process for the MEDIjobs Platform

220 Stories To Learn About Ux Design

Italian Investment bank Mediobanca and the United Kingdom’s (UK) Founders Factory joined forces to a new venture studio and an accelerator program in late July. Starting with €12 million, the partnering companies intend to invest in 35 fintech businesses over the next five years. launch financial technology Founders Factory is known for building and funding startups, having established a relationship with UK financial services operator, Aviva, while supporting nearly 50 fintech ventures, including Acre, Qumata, and ClearGlass. The newly formed venture studio also plans to build, finance, and launch new fintech ventures that utilize advanced technologies, such as blockchain and (AI). Artificial Intelligence Mediobanca’s Group Chief Operating Officer Marco Pozzi said, “The systematic collaboration with some of the most interesting startups in the international market will allow us, on the one hand, to contribute to the growth of an extremely high-potential market such as fintech, and, on the other, to transform existing systems by developing distinctive and highly innovative solutions.” Meanwhile, Henry Lane Fox, CEO of Founders Factory commented, “Combining our venture-building capabilities and fintech experience with Mediobanca’s heritage, financial prowess, and global ambition creates a powerful platform to back fintech founders.” Europe’s Fintech Scene Lately, European fintech companies have been attracting investment in the millions. In fact, CNBC and market research firm Statista published a of the world’s top 200 fintech companies on 2 August 2023, which includes European firms like Adyen, Ecolytiq, BancaAideXa, Bondora, Bricksave, Conda, Crowdium and more, in the top five positions under defined categories. report But it hasn’t been all sunshine and roses. A published in October 2022 found that the deteriorating macroeconomic environment had hit European fintechs hard, “with valuations declining and access to financing becoming more difficult.” McKinsey report But the report also suggested that many European countries have flourishing fintech ecosystems, specifically in the UK and Sweden. This article was originally published by on . Akriti Seth 150sec

Italy's Mediobanca Teams up with UK's Founders Factory to Bolster Fintech Startups

I can't go a day (or two) without building a bot of some sort, and last week was no exception. I've been a fan of the for nearly a decade now, and one of my favorite examples of it is my bot. I thought I'd use the Marvel API as a way to build bot, but this time on the platform. Here's how I did it. Marvel API random comic book cover another Cloudflare Workers The Architecture So, obviously, I'm using Cloudflare Workers, but I decided to make this project a two-step process. In my , I shared how you can "connect" one Worker to another via service bindings. Obviously, this is practical for reuse, and while it may be a bit overkill for this, I wanted to put what I learned in the last post into practice. My project's two workers are: last post A scheduled Worker that makes use of their support. This worker will be run on a schedule, call the second Worker for its data, and then post to Mastodon. Cron triggers A Worker that wraps calls to the Marvel API, specifically one to get a random character. The latter of the two is the simpler one, so let's start with that. Using the Marvel API for Character Information So, much like my 'random comic book' logic, I get a random Marvel character by: Figure out the total number of characters. I did this using their interactive tester and making note of the total number of results. As of August 2023, that number is 1562. Here's an example of that output: Then, simply call the character endpoint with a limit of one and an offset of a random number in that range. For the most part, it's all relatively simple, except Marvel requires you to sign your API requests. This was a minor sticking point for me as my previous Node.js code didn't work on Cloudflare, and I had to switch to Web Crypto, which was nicely documented here: . https://developers.cloudflare.com/workers/runtime-apis/web-crypto/#web-crypto Here's the entirety of the Worker: // Based on checking the API (in Aug 2023) to see how the max number of characters
const CHAR_TOTAL = 1562;

const getRandomInt = (min, max) => {
    return Math.floor(Math.random() * (max - min + 1)) + min;
}

async function getSuperHero(privateKey, publicKey) {

    let selected = getRandomInt(0, CHAR_TOTAL);
    let url = `https://gateway.marvel.com:443/v1/public/characters?limit=1&apikey=${publicKey}&offset=${selected}`;

    // add hash
    let ts = new Date().getTime();
    let myText = new TextEncoder().encode(ts + privateKey + publicKey);

    let hash = await crypto.subtle.digest({
        name:'MD5'
    }, myText);

    // Credit: https://developers.cloudflare.com/workers/runtime-apis/web-crypto/
    const hexString = [...new Uint8Array(hash)]
      .map(b => b.toString(16).padStart(2, '0'))
      .join('');

    url += '&hash='+encodeURIComponent(hexString)+'&ts='+ts;

    let resp = await fetch(url);
    let data = await resp.json();
    return data.data.results[0];
}

export default {
    async fetch(request, env, ctx) {
        const PRIVATE_KEY = env.MARVEL_PRIVATE_KEY;
        const PUBLIC_KEY = env.MARVEL_PUBLIC_KEY;
        let hero = await getSuperHero(PRIVATE_KEY, PUBLIC_KEY);
        console.log(`I got the hero ${hero.name}`);

        return new Response(JSON.stringify(hero), {
            headers: {
                'Content-Type':'application/json;charset=UTF-8'
            }
        });
    },
}; By the way, notice the ? Later this week, I'll show how that works in production. In case you're curious, here's what that JSON response looks like. It randomly selected one of my favorite characters, Galactus. In order to save on space, I removed items from the arrays of data. console.log many {
    "id": 1009312,
    "name": "Galactus",
    "description": "",
    "modified": "2014-09-30T16:47:03-0400",
    "thumbnail": {
        "path": "http://i.annihil.us/u/prod/marvel/i/mg/5/03/528d31a791308",
        "extension": "jpg"
    },
    "resourceURI": "http://gateway.marvel.com/v1/public/characters/1009312",
    "comics": {
        "available": 236,
        "collectionURI": "http://gateway.marvel.com/v1/public/characters/1009312/comics",
        "items": [
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/comics/12638",
                "name": "Alpha Flight (1983) #10"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/comics/12639",
                "name": "Alpha Flight (1983) #100"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/comics/4788",
                "name": "Annihilation (2006) #1"
            },

        ],
        "returned": 20
    },
    "series": {
        "available": 112,
        "collectionURI": "http://gateway.marvel.com/v1/public/characters/1009312/series",
        "items": [
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/series/2116",
                "name": "Alpha Flight (1983 - 1994)"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/series/3613",
                "name": "Annihilation (2006 - 2007)"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/series/1864",
                "name": "Annihilation: Heralds of Galactus (2007)"
            }
        ],
        "returned": 20
    },
    "stories": {
        "available": 259,
        "collectionURI": "http://gateway.marvel.com/v1/public/characters/1009312/stories",
        "items": [
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/stories/694",
                "name": "Cover #694",
                "type": "cover"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/stories/898",
                "name": "Fantastic Four (1998) #520",
                "type": "cover"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/stories/899",
                "name": "1 of 5 - Galactus",
                "type": "interiorStory"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/stories/922",
                "name": "Fantastic Four (1998) #518",
                "type": "cover"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/stories/923",
                "name": "AVENGERS DISASSEMBLED TIE-IN! \"FOURTITUDE\" PART 2 (OF 3) With public opinion of the FF at an all-time low and with all of Manhat",
                "type": "interiorStory"
            }
        ],
        "returned": 20
    },
    "events": {
        "available": 9,
        "collectionURI": "http://gateway.marvel.com/v1/public/characters/1009312/events",
        "items": [
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/events/229",
                "name": "Annihilation"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/events/234",
                "name": "Avengers Disassembled"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/events/318",
                "name": "Dark Reign"
            },
            {
                "resourceURI": "http://gateway.marvel.com/v1/public/events/302",
                "name": "Fear Itself"
            }
        ],
        "returned": 9
    },
    "urls": [
        {
            "type": "detail",
            "url": "http://marvel.com/comics/characters/1009312/galactus?utm_campaign=apiRef&utm_source=fe877c0bf61f995fc8540d9eac4704f1"
        },
        {
            "type": "wiki",
            "url": "http://marvel.com/universe/Galactus?utm_campaign=apiRef&utm_source=fe877c0bf61f995fc8540d9eac4704f1"
        },
        {
            "type": "comiclink",
            "url": "http://marvel.com/comics/characters/1009312/galactus?utm_campaign=apiRef&utm_source=fe877c0bf61f995fc8540d9eac4704f1"
        }
    ]
} Notice the property is both a path and an extension. Here's our lovely world devourer. thumbnail Now, on to the next Worker. The Scheduled Tooter I love that subhead. So the next Worker is responsible for running on a schedule and actually doing the Mastodon posting. The cover how these are set up and how you can test them. For the most part, this is just a plain worker. The biggest difference in the code is that you have a handler, not . Here's a barebones Worker for scheduled execution. Cloudflare docs scheduled fetch export default {
    async scheduled(event, env, ctx) {


    },
}; And your schedule is defined in the file. In this case, every two hours: wrangler.toml [triggers]
crons = ["0 */2 * * *"] The first issue I ran into was how to connect this worker to the first one. In the , you'll see it's rather simple: last blog post const backResponse = await env.backlogic.fetch(request.clone()); But, this expects an incoming request, an HTTP-driven Worker. There isn't a request in a Cron-triggered worker. I on the Cloudflare forums and got help from the most Internet nickname ever, . The fix is to simply make an empty (mostly) Request object like so: fetch asked Cyb3r-Jak3 let heroRequest = await env.randomsuperhero.fetch(new Request('http://127.0.0.1'));
let hero = await heroRequest.json(); Next, I prepare my data for my toot: /*
Generate the text for the toot.
I'm using the 'detail' link which is not always the best, better than the wiki though :( 
*/
let toot = `
Your random Marvel superhero of the moment is: ${hero.name}.
More information here: ${hero.urls[0].url}
`;

let image = `${hero.thumbnail.path}.${hero.thumbnail.extension}`; This is where I should point out that while my random comic book cover bot is , the character information is - unfortunately - a bit slim, especially for obscure characters. To be clear, I don't mean a lack of information, but a lot of 404s and no images. Honestly, I almost punted on this as a source of data, but I figured I'd let it go and see how it looks after a while "in the wild." great Now, at this point, I've got the text for my toot, as well as the image URL. I had intended to make use of the npm module I'd used in the past, , however, when I included this in my Worker, I got compatibility errors with the Workers environment. It didn't seem like an easy workaround, and I almost gave up when I thought, why not actually look at their and try using it without a wrapper? mastodon-api API documentation Creating a "toot" was incredibly simple: let data = new FormData();
data.append('status', toot);

let resp = await fetch('https://botsin.space/api/v1/statuses', {
    body:data,
    method:'post',
    headers:{
        'Authorization':`Bearer ${KEY}`
    }
}); Literally ten lines or so of code. I was pleasantly surprised. I then looked into the image aspect. Like Twitter, if you want to associate an image with a toot, you first upload the image, get the ID, and then associate it with the new message. To do this, I needed to first get the bits from the URL on Marvel's side and then send that to Mastodon. In the past, I would have simply saved the image to , but I don't think Cloudflare supports that. Instead, I did everything in memory. This took me the longest time, so hopefully, this code can help others. /tmp async function uploadMedia(url, key) {
    // first, grab the bits of the url
    let imgreq = await fetch(url);
    let blob = new Blob([await imgreq.blob()]);

    let data = new FormData();
    data.append('file', blob);

    let mediaupload = await fetch('https://botsin.space/api/v2/media', {
        body:data,
        method:'post',
        headers:{
            'Authorization':`Bearer ${key}`
        }
    });

    return await mediaupload.json();

} Woot. Okay, with that in play, here's the updated toot code (I love saying toot): let toot = `
Your random Marvel superhero of the moment is: ${hero.name}.
More information here: ${hero.urls[0].url}
`;

let image = `${hero.thumbnail.path}.${hero.thumbnail.extension}`;
let mediaOb = await uploadMedia(image, KEY);

let data = new FormData();
data.append('status', toot);
data.append('media_ids[]', mediaOb.id);

let resp = await fetch('https://botsin.space/api/v1/statuses', {
    body:data,
    method:'post',
    headers:{
        'Authorization':`Bearer ${KEY}`
    }
}); And voila - magic: Random Super Hero @myrandomsuperhero@botsin.space Your random Marvel superhero of the moment is: Alex Power.More information here: http://marvel.com/characters/1387/alex_power?utm_campaign=apiRef&utm_source=fe877c0bf61f995fc8540d9eac4704f1 (UTC) 12:01 PM • August 13, 2023 This is Alex Power, part of Power Pack, a favorite of mine when I was a teenager, and unfortunately, the detail links to a 404. :( All in all, this is kind of par for the course for Cloudflare Workers. I hit a few snags, learn how Cloudflare does things, and then it all just works. I know I said this before, but I'm absolutely digging into the Cloudflare developer experience. If you want to follow the bot, you can find the account at . The source code for generating the random hero may be found here: . The source for the cron/Mastodon Worker may be found here: https://botsin.space/@myrandomsuperhero https://github.com/cfjedimaster/cloudflareworkers-demos/tree/main/randomsuperhero https://github.com/cfjedimaster/cloudflareworkers-demos/tree/main/randomsuperherobot Also published . here

Mastodon: Building a Marvel Character Info Bot with Cloudflare Workers

Astounding Stories of Super-Science June 1931: VOL. VI, NO. 3 - The Readers' Corner

IoT - Internet of Things - is an innovative technology which includes a bunch of interconnected devices that transmits data without any involvement of humans. IoT is already used in smart homes, such as automatic light or electronic devices, which are automatic and easily controllable from a distance using smart speakers or smartphones. As this technology does not use human interaction, it will become the perfect tool for the effective exchange of data because it itself collects the data and sends it automatically. Currently, many problems are arising in healthcare because healthcare workers cannot reach all their patients, but now IoT can help solve this problem. Different Studies The IoT integrated cloud medical system platform contains the basic functions of the IoT and has a core graphics processing unit (GPU). Cloud computing systems connected to existing electronic medical records- image archiving and communication can be better assist in deep mine and intelligent diagnosis. These are the following ten functions of IoT that are considered beneficial for assistance, supervision, and control of medical quality. Ten Function of the nCapp Diagnosis and Treatment System for COVID-19 Based On The Internet of Things. This is best for online monitoring identifying COVID-19 and guiding graded diagnosis. 1. Online Monitoring This can be used to locate patients diagnosed with COVID-19 and guide treatment when problems are found. 2. Location Tracking Alarm linkage provides alarms to monitor the probability of COVID-19 and provide a three-linkage response function to guide graded diagnosis and treatment. 3. Alarm Linkage The use of command and control can facilitate the graded diagnosis and consultation of patients with COVID-19. 4. Command and Control Plan management presets management criteria for the graded diagnosis and treatment of patients with COVID-19. This can be set in advance for graded management and timely treatment of confirmed, suspected, and suspicious cases. 5. Plan Management This is conducive to providing a corresponding safety guarantee mechanism for the graded diagnosis and treatment of patients with COVID-19. 6. Security and Privacy 7. Remote Maintenance Remote maintenance provides network services uses for graded diagnosis and treatment of patients with COVID-19. 8. Online Upgrade Online upgrades ensure the normal operation of the graded diagnosis and treatment of patients with COVID-19 and provide automatic medical service. 9. Command Management Command Management is considered beneficial for experts or managers to deeply investigate or expand the diagnosis and treatment functions based on the massive information collected. This could be used to create guides on how to better prevent and control COVID-19. 10. Statistical Decision This is considered beneficial for experts or managers to perform statistical analysis based on the data of the graded diagnosis and treatment of patients with COVID-19. This can summarize experiences, identify problems, and propose solutions. Accordingly, if we compare the previous generations of mobile networks, 5G networks are the best among all. Hence, these should be used for better results. The diagnosis and recommendation are automatically generated and sent to doctors. “The comprehensive perception -> reliable transmission -> intelligent processing” of the IoT technology assist the GPU to manage the app assisted 3 level cloud platforms. Medicos and researchers can use the smartphone and this software to participate in this three-linkage IoT cloud plus platform according to their needs. Coronavirus Symptoms The corona symptoms include fever, cough, loss of smell and taste, breathing difficulties, pulse rate, tiredness and muscle pain. So, all these can be tested at home by using a body temperature sensor, respiratory rate sensor, pulse sensor, and muscle sensor respectively. We can use these sensors to create a network and send the data from the safety of homes to the hospitals. The Kits The COVID-19 kit includes: Body temperature sensor Respiratory rate sensor Pulse sensor Muscle sensor All these sensors are to be connected to a mobile android application which will test for these daily and send the data to the hospital regularly regarding the same. The doctor can check the data and can tell whether to collect swab for further tests or not. IoT kit can provide a proper monitoring system for those quarantining at home. High-risk patients that have BP or sugar can be monitored remotely using IoT as well. Applications of IoT for Healthcare These are nine potential different applications of IoT for healthcare: The use of online monitoring, which is the best way to monitor patients. The use of location tracing with notifications so other users in nearby areas can stay alert. The precise and well-informed forecasting, which will drive statistical decisions. This will be possible due to rapid real-time information. It could help to identify innovative solutions. Wireless healthcare networks can identify possible patients. Telehealth consultations can automate some treatment processes. The transparent COVID-19 treatment will ensure that no patient gets discriminated on any basis. The future scope of this kit will include a drone, which will collect a swab from your home so you will get reports from the safety of your homes. Remote maintenance for less human contact. Issues And Future Scope The main problem of implementing IoT in the present pandemic is security. The privacy of the patients' data needs to be taken care of, as it can be easily misused if got into the wrong hands. Along with the data, integration also needs to be taken care of because if any patient’s data got mixed with another, the outcome could be catastrophic. The future scope of this project will take it up to the blockchain level. Conclusion IoT is an integrated and connected network for healthcare to fight COVID-19. As all devices are connected to the internet, if any critical situation arises for the patient, a message is immediately sent to the doctors and nurses. This technology helps a lot to capture real-time data of the infected patient and then message the data virtually. So, the follow up on that report also gets relatively easier. We can easily handle infected cases in remote places by using IoT if well-connected devices are present. IoT appears to be the best way to detect and diagnose the infected patient as well as monitor. And in research, the real-time data is going to be very important. Also published at https://medium.com/@tanzilidrisi68/using-of-iot-sensors-and-application-for-healthcare-industry-8b1525a88ac2

Using IoT Sensors in Healthcare to Stop COVID-19

Por favor clic el artículo original： http://www.octoparse.es/blog/70-fuentes-de-datos-gratuitas-en-2020 Todos gran visualización de datos comienza con datos buenos y limpios. La mayoría de la gente cree que recopilar grandes datos sería un trabajo difícil, pero simplemente no es cierto. Hay miles de conjuntos de datos gratuitos disponibles en línea website, listos para ser analizados y visualizados por cualquier persona. Aquí hemos reunido 70 fuentes de datos gratuitas para 2020 sobre , gobierno, delincuencia, salud, datos financieros y económicos, marketing y redes sociales, periodismo y medios, bienes raíces, directorio, revisión de empresas y más. Fuente de Datos Gratuita: Gobierno : Es la primera etapa y proporciona información gratuita sobre el clima y la delincuencia en la web por parte del gobierno de los Estados Unidos. Data.gov : Aquí hay conjuntos de datos de todos los departamentos centrales del Reino Unido, así como de muchas otras autoridades locales y públicas. Actúa como un portal a todo tipo de información sobre todo, incluyendo negocios y economía, crimen y justicia, defensa, educación, medio ambiente, gobierno, salud, sociedad y transporte. Data.gov.uk : Este sitio contiene las últimas estadísticas gubernamentales sobre la vida de los ciudadanos estadounidenses, incluida la población, la economía, la educación, la geografía y más. U.S. Census Bureau : Datos sobre todos los países del mundo; se enfoca en temas de historia, gobierno, población, economía, energía, geografía, comunicaciones, transporte, militares y transnacionales para 267 países. The CIA World Factbook : Socrata es una compañía de software impulsada por la misión que es otro lugar interesante para explorar datos relacionados con el gobierno con algunas herramientas de visualización integradas. Sus datos como servicio han sido adoptados por más de 1200 agencias gubernamentales para datos abiertos, gestión del desempeño y gobierno basado en datos. Socrata : Portal de datos abiertos de la Unión Europea: es el único punto de acceso a una creciente gama de datos de las instituciones y otros organismos de la Unión Europea. Los aumentos de datos incluyen el desarrollo económico dentro de la UE y la transparencia dentro de las instituciones de la UE, incluidos datos geográficos, geopolíticos y financieros, estadísticas, resultados electorales, actos jurídicos y datos sobre delincuencia, salud, medio ambiente, transporte e investigación científica. Podrían reutilizarse en diferentes bases de datos e informes. Y más, una variedad de formatos digitales están disponibles en las instituciones de la UE y otros organismos de la UE. El portal proporciona un catálogo estandarizado, una lista de aplicaciones y herramientas web que reutilizan estos datos, un editor de consultas de punto final SPARQL y acceso a la rest API, y consejos sobre cómo hacer el mejor uso del sitio. European Union Open Data Portal es un proyecto piloto con muchos conjuntos de datos gubernamentales y geoespaciales. Le ayuda a explorar cómo el gobierno de Canadá crea una mayor transparencia, responsabilidad, aumenta la participación ciudadana e impulsa la innovación y las oportunidades económicas a través de datos abiertos, información abierta y diálogo abierto. Canada Open Data : ofrece datos abiertos del gobierno de US, La UE, Canadá, CKAN y más. Datacatalogs.org : El Centro Nacional de Estadísticas de Educación (NCES) es la principal entidad federal para recopilar y analizar datos relacionados con la educación en los U.S./otras naciones. U.S. National Center for Education Statistics : La colección del Servicio de datos del Reino Unido incluye importantes encuestas patrocinadas por el gobierno del Reino Unido, encuestas transnacionales, estudios longitudinales, datos del censo del Reino Unido, agregado internacional, datos comerciales y datos cualitativos. UK Data Service Fuente de Datos Gratuita: Crimen : El Programa UCR ha sido el punto de partida para ejecutivos de la ley, estudiantes, investigadores, miembros de los medios de comunicación y el público que busca información sobre delitos en los Estados Unidos. Uniform Crime Reporting : Statistical crime informes y publicaciones estadísticas sobre delitos que detallan delitos específicos y describen tendencias para comprender las amenazas de delitos a nivel local y nacional. FBI Crime Statistics : información sobre todo lo relacionado con el sistema de justicia penal de los U.S., Incluidas las muertes relacionadas con el arresto, el censo de los reclusos en la cárcel, la encuesta nacional de laboratorios de delitos de ADN, Investigaciones de organismos encargados de hacer cumplir la ley, etc. Bureau of Justice Statistics : Búsqueda nacional de delincuentes sexuales: es un recurso de seguridad pública sin precedentes que permite el acceso público a los datos de delincuentes sexuales en todo el país. Presenta la información más actualizada proporcionada por cada Jurisdicción. National Sex Offender Search Fuente de Datos Gratuita: Salud : Aquí encontrará un archivo de datos comprimido de la base de datos Drugs@FDA. Drugs@FDA se actualiza diariamente, y este archivo de datos se actualiza una vez por semana, el martes. U.S. Food & Drug Administration : UNICEF gathers evidence on the situation of children and women around the world. The data sets include accurate, nationally representative data from household surveys and other sources. UNICEF : Estadísticas sobre nutrición, enfermedades y salud en más de 150 países. : 125 años de datos de atención médica de EE. UU., Incluidos datos de Medicare a nivel de reclamos, epidemiología y estadísticas de población. World Health Organisation Healthdata.gov : Conjuntos de datos de salud del Servicio Nacional de Salud del Reino Unido. La organización produce más de 260 publicaciones estadísticas oficiales y nacionales. Esto incluye datos comparativos nacionales para usos secundarios, desarrollados a partir de las estadísticas de episodios long-running hospitalarios que pueden ayudar a los tomadores de decisiones locales a mejorar la calidad y la eficiencia de la atención de primera línea. NHS Health and Social Care Information Centre Fuente de Datos Gratuita: datos financieros y económicos : Estadísticas educativas sobre todo, desde finanzas hasta indicadores de prestación de servicios. World Bank Open Data :Una fuente de información increíblemente útil que incluye informes de estabilidad financiera mundial, informes económicos regionales, estadísticas financieras internacionales, tipos de cambio, dirección comercial y más. IMF Economic Data : Acceso gratuito a datos detallados del comercio mundial con visualizaciones. UN Comtrade es un depósito de estadísticas oficiales de comercio internacional y tablas analíticas relevantes. Se puede acceder a todos los datos a través de la API. UN Comtrade Database : Con datos sobre más de 60,000 compañías que cubren 300 años, Global Financial Data proporciona una fuente especial única para analizar los giros y vueltas de la economía global. Global Financial Data : Cotizaciones y gráficos de acciones en tiempo real, noticias financieras, conversiones de divisas o carteras rastreadas Google Finance . : El Explorador de datos públicos de Google proporciona datos públicos y pronósticos de una variedad de organizaciones internacionales e instituciones académicas, incluidos el Banco Mundial, la OCDE, Eurostat y la Universidad de Denver. Estos se pueden mostrar como gráficos de líneas, gráficos de barras, diagramas de sección transversal o en mapas. Google Public Data Explorer :Estadísticas macroeconómicas y de la industria oficiales de U.S., Principalmente informes sobre el producto interno bruto (PIB) de los Estados Unidos y sus diversas unidades. También proporcionan información sobre ingresos personales, ganancias corporativas y gastos del gobierno en sus Cuentas Nacionales de Ingresos y Productos (NIPAs). U.S. Bureau of Economic Analysis :Plentiful links to anything related to finance, no matter how obscure, including World Development Indicators Online, World Bank Open Data, Global Financial Data, International Monetary Fund Statistical Databases, y . Financial Data Finder at OSU EMIS Intelligence : Datos macro, datos de la industria, datos de productividad, datos comerciales, finanzas internacionales, datos y más. National Bureau of Economic Research : Conjuntos de datos trimestrales de información extraída de las exhibiciones a informes financieros corporativos presentados a la Comisión. : Visualizaciones de datos sobre la economía. U.S. Securities and Exchange Commission Visualizing Economics :Financial Times proporciona una amplia gama de información, noticias y servicios para la comunidad empresarial global. Financial Times Fuente de Datos Gratuita: Marketing y Redes Sociales : Explore los conjuntos de datos públicos de Amazon Web Services por categoría para obtener una gran cantidad de información. Amazon API Gateway permite a los desarrolladores conectar de forma segura aplicaciones móviles y web a API que se ejecutan en Amazon Web (AWS) Lambda, Amazon EC2 u otros servicios web de acceso público que se alojan fuera de AWS. Amazon API : ASTA es la asociación de profesionales de viajes más grande del mundo. Proporciona información a los miembros, incluidas las agencias de viajes y las empresas cuyos productos venden, como tours, cruceros, hoteles, alquiler de automóviles, etc. American Society of Travel Agents :Social Mention es una plataforma de búsqueda y análisis de redes sociales que agrega contenido generado por los usuarios de todo el universo en un solo flujo de información. Social Mention : Google Trends muestra la frecuencia de ingresar términos de búsqueda específicos en varios idiomas en relación con el volumen de búsqueda total en todo el mundo. Google Trends : Aprenda a publicar y recuperar datos de Facebook utilizando la API Graph. Facebook API : La plataforma de Twitter conecta su sitio web o aplicación con la conversación mundial que tiene lugar en Twitter. : La plataforma de API de Instagram se puede utilizar para crear aplicaciones y servicios sin automatizados, auténticos y de alta calidad. Twitter API Instagram API : La API de Foursquare le brinda acceso a nuestra base de datos de lugares de clase mundial y la capacidad de interactuar con los usuarios y comerciantes de Foursquare. Foursquare API : Un gran depósito de datos de marketing. Puede encontrar las últimas estadísticas y tendencias de marketing aquí. También proporciona herramientas para marketing en redes sociales, gestión de contenido, análisis web, páginas de destino y optimización de motores de búsqueda. HubSpot : Información sobre SEO que incluye investigación de palabras clave, creación de enlaces, auditorías de sitios e información de optimización de páginas para ayudar a las empresas a tener una mejor visión de la posición que tienen en los motores de búsqueda y cómo mejorar su clasificación. Moz : Las últimas noticias, estudios e investigaciones sobre marketing de contenidos. Content Marketing Institute Fuente de Datos Gratuita: Periodismo y Medios – Busque artículos de Times desde 1851 hasta hoy, recuperando titulares, resúmenes y enlaces a multimedia asociados. También puede buscar reseñas de libros, listados de eventos de Nueva York, críticas de películas, historias principales con imágenes y más. The New York Times Developer Network :La de contenido AP le permite buscar y descargar contenido utilizando sus propias herramientas editoriales, sin tener que visitar los portales AP. Proporciona acceso a imágenes de AP, propiedad de un miembro y de terceros, y videos producidos por AP y terceros seleccionados. Associated Press API API : Es un motor de búsqueda en línea que registra las frecuencias de cualquier conjunto de cadenas de búsqueda delimitadas por comas utilizando un recuento anual de n-gramos encontrados en fuentes impresas entre 1500 y 2008 en los corpus de texto de Google. Google Books Ngram Viewer : Wikipedia offers free copies of all available content to interested users. Wikipedia Database : Es un sitio web que se centra en el análisis de encuestas de opinión, política, economía y blogs de deportes. LLos datos y el código en Github están detrás de la historia y la interacción de FiveThirtyEight. FiveThirtyEight : Google Scholar es un motor de búsqueda web de acceso gratuito que indexa el texto completo o los metadatos de la literatura académica en una variedad de formatos y disciplinas de publicación. Incluye la mayoría de las revistas y libros académicos en línea revisados ​​por pares, documentos de conferencias, tesis y disertaciones, preimpresiones, resúmenes, informes técnicos y otra literatura académica, incluidas las opiniones de los tribunales y las patentes. Google Scholar Free Data Source: Real Estate : Castles son una exitosa agencia independiente de propiedad privada. Establecidos en 1981, ofrecen un servicio integral que incorpora ventas residenciales, alquileres y administración, y encuestas y valoraciones. Castles : RealEstate.com sirve como el mejor recurso para los compradores de vivienda por primera vez, ofreciendo herramientas fáciles de entender y asesoramiento experto en cada etapa del proceso. Realestate.com : Gumtree es el primer sitio de anuncios clasificados gratuitos en el Reino Unido. Comprar y vender artículos, automóviles, propiedades y encontrar u ofrecer trabajos en su área está disponible en el sitio web. Gumtree : Proporciona un enfoque innovador de base de datos para ventas residenciales, alquileres y administración. James Hayward : Japan’s property website. Lifull Home’s : Italy’s property website. Immobiliare.it : Italy’s property website. Subito : El sitio web inmobiliario líder de Bélgica. Immoweb Fuente de Datos Gratuita: Directorio de Negocios y Revisión : LinkedIn es un servicio de redes sociales orientado a los negocios y el empleo que opera a través de sitios web y aplicaciones móviles. Tiene 500 millones de miembros en 200 países y puede encontrar el directorio de negocios aquí. LinkedIn : OpenCorporates es la base de datos abierta más grande de compañías y datos de compañías en el mundo, con más de 100 millones de compañías en un número similar de jurisdicciones. Nuestro objetivo principal es hacer que la información sobre las empresas sea más utilizable y esté más ampliamente disponible para el beneficio público, particularmente para abordar el uso de las empresas con fines criminales o antisociales, por ejemplo, corrupción, lavado de dinero y crimen organizado. OpenCorporates : La fuente original para encontrar y conectarse con fontaneros locales, personal de mantenimiento, mecánicos, abogados, dentistas y más. Yellowpages : Craigslist es un sitio web estadounidense de anuncios clasificados con secciones dedicadas a empleos, vivienda, anuncios personales, en venta, artículos buscados, servicios, comunidad, conciertos, currículums y foros de discusión. Craigslist : Fundado en 1886, GAF se ha convertido en el mayor fabricante de techos comerciales y residenciales de América del Norte (Fuente: estudio del Grupo Fredonia). Nuestro éxito en el crecimiento de la compañía a casi $ 3 mil millones en ventas ha sido el resultado de nuestra incesante búsqueda de la calidad, combinada con la experiencia líder en la industria y soluciones integrales para techos. Jim Schnepper es el presidente de GAF, una subsidiaria operativa de Standard Industries. Cuando busca proteger las cosas que más valora, estas son solo algunas de las razones por las que creemos que debe elegir GAF. GAF Master Elite Contractor : Aquí puede encontrar contratistas, remodeladores, instaladores o constructores en los US y Canadá en su proyecto residencial o comercial. CertainTeed : Toda la información sobre las empresas en California. Companies in California : Manta es uno de los mayores recursos en línea que ofrece productos, servicios y educativas oportunidades. El directorio de Manta cuenta con millones de visitantes únicos cada mes que buscan en la base de datos integral empresas individuales, segmentos de la industria y listados geográficos específicos. Manta : Directorio sobre startups en la UE.、 EU-Startups : Directorio de abogados. La Asociación de Abogados de Kansas (KBA) se fundó en 1882 como una asociación voluntaria para profesionales legales dedicados y tiene más de 7,000 miembros, incluidos abogados, jueces, estudiantes de derecho y asistentes legales. Kansas Bar Association Fuente de datos gratuita: Otros sitios web del portal : Directorio sobre software de negocios y reseñas. Capterra : Fuente de datos para empleos y oportunidades de carrera. Monster : Directorio sobre trabajos e información sobre información privilegiada sobre empresas con revisiones de empleados, herramientas salariales personalizadas y más. Glassdoor : Directorio sobre servicio de automóviles, MOT o reparación de automóviles The Good Garage Scheme : Información sobre fragancias. OSMOZ : Una herramienta de extracción de datos gratuita para recopilar todos los datos web mencionados anteriormente en línea. Octoparse

Big Data: 70 Increíbles Fuentes de Datos Gratuitas que Debes Conocer para 2020

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Singapore is home to some of the best schools in the field of Computer Science, specifically . The going on there is unparalleled. Colleges like Nanyang Technological University (NTU) and have a great reputation all over the world for their CS programs. Artificial Intelligence cutting edge research National University of Singapore (NUS) An opportunity presented itself to me when I was in my college in SRMIST, Chennai, India. A Global Academic Internship Programme ( ) by Corporate Gurukul, which sends students interested/experienced in to study under world class faculty. I wasn't letting this pass, so I signed up for it, cleared the interview and got in! GAIP Artificial Neural Networks and Big Data to NUS It was December 2018 and I was on my flight to Singapore 🇸🇬. The was very exciting because of it's thorough covering the basics and advanced topics related to Artificial Neural Networks(ANN) and Big Data (more on these topics later). trying to implement whatever that was taught in the lectures keeping in mind the business value of the project that was being developed. Academic Internship syllabus In a span of 15 days we had to work on two projects We covered ANN for the first 8 days, followed by Big Data in the remaining. ANN Lectures were delivered by and . Dr. Lek Hsiang Hui , Dr. Tan Wee Kek Dr. Wang Wei Firstly, we had . It was a really good insight and added value to my understanding of the same concept. Dr. Lek Hsiang Hui who gave us an introduction to Data Analytics Explained the different types of and gave a few examples of how the data flows between different states, is modified and then a decision is taken based on the output. Decision Models also was covered with a great flow digram describing each of various stages involved like . Data mining Data Extraction, Data Cleaning, Data Aggregation, Data Representation, Data Interpretation Basics of and implementing various mathematical formulae was also taught, which included . R programming Measures of Location, Measures of Shape, Measures of Dispersion and Measures of Association Secondly, we had in a very intuitive manner, and I was able to grasp most of the concepts with ease. Things I understood and implemented: Dr. Tan Wee Kek who presented the concepts of Machine Learning Simple and Multi and it's problems Linear Regression Python Data Science Libraries like Numpy, Scipy, Matplotlib and Scikit Learn and it's types: Decision Trees, Bayesian Classifier, Logistic Regression, SVM (Support Vector Machines) Classification : K-Means, K-Mediods, Hierarchical Methods Clustering using Classification, Association and Clustering Text Mining and KDD An artificial neural network is designed to function like the neurons in the brain. Lastly, . These topics were harder to understand with the level of Calculus involved but Dr. Wei did a great job at teaching us the basics. Here's everything that I learned and implemented: Dr. Wang Wei introduced us to topics revolving around Artificial Neural Networks : Problems with Logistic Regression Why ANN and (GD) Algorithm Back Propagation Gradient Descent Some advanced GD Algorithms like , , and Stochastic GD Minibatch GD RMSProp Adam Training Techniques: Random Initialisation, ReLU, Dropout : Pooling, Padding, Strides and some common CNN Architectures Convolutional Neural Networks : Vanilla RNN and LSTM Recurrent Neural Networks We had to present our Artificial Neural Networks Course Project two days after our final lecture. Those days went by really quickly with little or no sleep as me and my group mates hustled to finish our project called Quick Draw. We wanted to make something that has great scope for real-world implementation and helps the society. . Our program tracks the strokes of the user and gives an output predicting what the user is trying to draw in real-time of various labeled hand drawn images in the Numpy Array format. We downloaded the data of 4 classes (20,000 images each) and started training it with different algorithms. First we started off with SVM, then K-Means Clustering, then Feed-Forward Neural Network, then Convolutional Neural Network and finally Long Short-term Memory (LSTM). . So we decided to use those two models and we made a front end for our project using OpenCV library which is basically taking input of our strokes from the keyboard. Quick Draw uses the existing Google's Dataset We found out that CNN and LSTM gave us the highest accuracies You can checkout the project here . Now moving on to the . This course was delivered by , or as we call him, . He helped us work on some really complicated linux commands, broke them down for us so that we find it easy. Here are the topics that I learned and implemented: Big Data Course, the second one of our internship Ravindra Kumar God of Linux What is and how it is changing the world Big Data Problems in Big Data and it's features, Hadoop vs RDBMS Hadoop The : HDFS, Yarn, MapReduce, HBase, ZooKeeper, Pig and Hive Hadoop Ecosystem : NameNode, DataNode, SSH-ing into these nodes without a password Setting up Node Cluster using Ambari Management , Commissioning and De-commissioning, Resource Manager, Scheduler Setting up HDFS using Shell Commands Basic Queries and Data Ingestion mechanisms using HIVE Sqoop Programming Mapreduce After the lectures, we had to work on a in which we set up a deployed on a platform and managed using . We had to do everything from scratch, set up between the three nodes, setup , creating a local repository, transferring data from the local repository to and then performing operations on that Data. We chose the book called 'Sherlock' from the Gutenberg Library and . Every step of the project was done mostly through shell commands which was really cool and helped us understand the working of Linux commands, when and where to use them. project three node cluster Ambari password-less SSH Java, JDBC, Hadoop environments on the .bashrc file HBASE performed Word-Count and MapReduce programs on it It was a to learn from the best in the world and work on projects under their guidance. I also would like to , they were always there to help us out with any difficulty that we would face and help us overcome it. really enriching experience thank the Teaching Assistants(TA) for the course Puru Sharma and Devvrit Khattri Thank you for reading!

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MEDIJOBS

medijobs.ro

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MEDIJOBS

EVERGREEN INDEX #6454

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MEDIjobs WIKI

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