Startup Connect, AI-Driven Platform for Empowering Entrepreneurs
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Student Project | Computer Technology | India | Volume 14 Issue 4, April 2025 | Popularity: 5.4 / 10


     

Startup Connect, AI-Driven Platform for Empowering Entrepreneurs

Adarsh P, Shyma Kareem


Abstract: Startup Connect is an AI-powered platform crafted to support and inspire emerging entrepreneurs by providing a collaborative environment for idea sharing, mentorship, and investor engagement. The platform incorporates essential features such as one-on-one chat for personal communication, a dynamic freelancer marketplace to connect with skilled professionals, and a gamified voting system that highlights the "Best Idea of the Day" to encourage community participation. Leveraging Feedforward Neural Networks (FNN) and other intelligent algorithms, Startup Connect enhances user interaction by analyzing content, providing relevant feedback, and supporting idea refinement. The platform not only streamlines the journey from concept to pitch but also fosters a vibrant, inclusive ecosystem that bridges the gap between innovation and opportunity. Through this intelligent and collaborative infrastructure, Startup Connect empowers users to turn their entrepreneurial visions into reality.


Keywords: AI-driven platform, Startup ecosystem, Entrepreneur support, startup success prediction, FNN, GPT-based analysis, startup mentorship, entrepreneur-investor matchmaking, freelancer marketplace, idea collaboration, voting system, Startup community


Edition: Volume 14 Issue 4, April 2025


Pages: 1458 - 1464


DOI: https://www.doi.org/10.21275/SR25418101348


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Adarsh P, Shyma Kareem, "Startup Connect, AI-Driven Platform for Empowering Entrepreneurs", International Journal of Science and Research (IJSR), Volume 14 Issue 4, April 2025, pp. 1458-1464, https://www.ijsr.net/getabstract.php?paperid=SR25418101348, DOI: https://www.doi.org/10.21275/SR25418101348

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