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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53684
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
College students often have innovative business ideas but lack accessible platforms to transform them into successful ventures. To address this challenge, Nest has been developed as a full-stack web platform that empowers campus startups through data-driven intelligence and AI-powered decision support. The system integrates entrepreneurship, collaboration, and artificial intelligence within a unified campus ecosystem. It features an online marketplace where student entrepreneurs can showcase and sell their products or services, supported by AI-driven recommendation algorithms based on TF-IDF and cosine similarity to personalize user experiences. A Linear Regression model predicts sales trends for data-driven decision-making, while a Naïve Bayes classifier performs sentiment analysis on customer reviews to enhance feedback interpretation. Furthermore, a Graph-Based Collaboration Network built using NetworkX connects students with complementary skills, fostering teamwork and co-founder discovery. The platform utilizes the MERN stack with secure authentication and integrated payment processing. Nest provides a scalable, intelligent, and collaborative environment that promotes innovation and entrepreneurial growth within college communities.
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Publication Date
10/10/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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