Santhanamari, G and Viswa Kumar, N and Sriniketh, J and Abinaya, M R and Aiswarya, P (2024) HackProInit: AI Powered Hackathon Project Initiator. In: 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), Coimbatore, India.
Full text not available from this repository.Abstract
HackProlnit is a dynamic platform designed to streamline the initial stages of hackathon project development. With a focus on generating project ideas, descriptions, and titles, it serves as a catalyst for participants seeking inspiration and direction. Leveraging state-of-the-art technologies such as Cohere for idea generation and OpenAI for project implementation, the platform offers a holistic approach to project initiation. The backend infrastructure, built on Node.js, facilitates seamless communication between the frontend and various APls, overcoming challenges such as CORS errors through innovative solutions. The frontend, developed using React.js and styled with Ant Design and Bootstrap, provides an intuitive user experience. A responsive landing page, meticulously crafted with Ant Design, showcases the project's functionalities and features, highlighting its value proposition. Key accomplishments include mastering NLP model interpretation for optimal query results, overcoming CORS challenges, and delivering a compelling user interface within tight time constraints. The platform's success lies in its ability to empower hackathon participants with the tools and guidance needed to kickstart their projects effectively.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Uncontrolled Keywords: | Bootstrap; Cohere; Github; Js; Node.; Openai; Project development; React.; ]+ catalyst |
Subjects: | A Artificial Intelligence and Data Science > Artificial intelligence C Computer Science and Engineering > Computer programming,programs,data |
Divisions: | Electronics and Communication Engineering |
Depositing User: | Dr Krishnamurthy V |
Date Deposited: | 25 Sep 2024 06:26 |
Last Modified: | 25 Sep 2024 06:26 |
URI: | https://ir.psgitech.ac.in/id/eprint/1240 |