Nest – Empowering Campus Startups through Data-Driven Intelligence and AI-Powered Decision Support
Pranoti Chakwate1, Siddhi Borawake2, Aditi Mane3, Priya Kumari4 , Dr. S. R. Ganorkar5
1Student, Information Technology Department, Sinhgad College of Engineering, Pune, India
2Student, Information Technology Department, Sinhgad College of Engineering, Pune, India
3Student, Information Technology Department, Sinhgad College of Engineering, Pune, India
4Student, Information Technology Department, Sinhgad College of Engineering, Pune, India
5Head of Department, Information Technology Department, Sinhgad College of Engineering, Pune, India
Abstract - 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.
Key Words: AI, Student Entrepreneurship, Recommendation System, Linear Regression, Sentiment Analysis, Graph Network, MERN Stack, Predictive Analytics
