Table of Links Abstract and I. Introduction Abstract and I. Introduction II. Design and Implementation II. Design and Implementation III. Project Status III. Project Status IV. Results IV. Results V. Limitations and Future Work, Conclusion, and References V. Limitations and Future Work, Conclusion, and References Abstract—In an increasingly digitized world, the secure management and trade of digital assets has become a pressing issue. This project aims to address this challenge by developing a decentralized application (dApp) that leverages blockchain technology and deep learning models to provide secure and efficient digital asset management, with a focus on NFTs. The dApp includes features such as secure wallet connections, NFT image generation, minting, marketplace, and profile management. The back-end of the dApp is implemented using the Goerli testnet with Soliditybased smart contracts, while IPFS and ReactJS/EtherJS are used for decentralized storage and front-end development, respectively. Additionally, the OpenAI API is integrated to generate unique NFT images based on user input. The project demonstrates the practical application of blockchain technology and deep learning models in developing dApps for secure and decentralized digital asset management. Overall, the project contributes to the ongoing research on blockchain-based solutions for secure digital asset management, while highlighting the potential of blockchain and deep learning technologies to transform the way we manage and trade digital assets. Abstract—In an increasingly digitized world, the secure management and trade of digital assets has become a pressing issue. This project aims to address this challenge by developing a decentralized application (dApp) that leverages blockchain technology and deep learning models to provide secure and efficient digital asset management, with a focus on NFTs. The dApp includes features such as secure wallet connections, NFT image generation, minting, marketplace, and profile management. The back-end of the dApp is implemented using the Goerli testnet with Soliditybased smart contracts, while IPFS and ReactJS/EtherJS are used for decentralized storage and front-end development, respectively. Additionally, the OpenAI API is integrated to generate unique NFT images based on user input. The project demonstrates the practical application of blockchain technology and deep learning models in developing dApps for secure and decentralized digital asset management. Overall, the project contributes to the ongoing research on blockchain-based solutions for secure digital asset management, while highlighting the potential of blockchain and deep learning technologies to transform the way we manage and trade digital assets. Abstract I. INTRODUCTION Blockchain technology has created new possibilities for managing and trading digital assets, with non-fungible tokens (NFTs) being one of the most intriguing applications of this technology. However, ensuring the security of NFTs is a major challenge, particularly concerning safeguarding users’ private keys. The purpose of this project is to address these challenges by developing a decentralized application (dApp) [2] named NFT Marketplace, which offers a safe and userfriendly platform for NFT management. This project aims to tackle several fundamental questions regarding the secure management and trading of NFTs. How can users connect their cryptocurrency wallets securely to a dApp, allowing them to interact with NFTs without exposing their private keys? How can unique NFTs be generated utilizing deep learning models and then uploaded to decentralized storage? How can NFTs be traded securely and transparently on a blockchain-based marketplace? And how can users manage and view their NFT collections simply and intuitively? To address these questions, we have designed and implemented the NFT Marketplace. This platform enables users to securely connect their wallets to the dApp, create unique NFTs using deep learning models, and manage their NFT collections. Smart contracts written in Solidity [1] for secure and transparent asset transfer on the blockchain were used with the Goerli testnet [3]. Additionally, we used the OpenAI API [4] to generate unique NFT images based on user input, which were then uploaded to decentralized storage on IPFS [9]. In the subsequent sections of this report, we will describe the design and implementation of our dApp and present results from our testing and evaluation of the dApp’s performance, usability, and discuss the limitations of our approach and future directions for research and development in this area. Furthermore, we will present the results of the performance evaluation of our dApp in terms of the time taken for API calls during the NFT generation and minting process. We will also provide details of the usability study conducted to assess the user-friendliness of our dApp. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv available on arxiv Authors:
(1) Piyush Batra, Department of Computing Science, University of Alberta (pbatra2@ualberta.ca);
(2) Gagan Raj Singh, Department of Computing Science, University of Alberta (grsingh@ualberta.ca);
(3) Ritik Gandhi, Department of Computing Science, University of Alberta (rgandhi1@ualberta.ca). Authors: Authors: (1) Piyush Batra, Department of Computing Science, University of Alberta (pbatra2@ualberta.ca); (2) Gagan Raj Singh, Department of Computing Science, University of Alberta (grsingh@ualberta.ca); (3) Ritik Gandhi, Department of Computing Science, University of Alberta (rgandhi1@ualberta.ca).

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