Nest – Empowering Campus Startups through Data-Driven Intelligence and AI-Powered Decision Support

Authors:

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 the Sentence-BERT model to personalize user experiences. A Linear Regression model predicts sales trends for data-driven decision-making, the RoBERTa model performs sentiment analysis to enhance feedback interpretation. Furthermore. The platform utilizes the MERN stack with secure authentication and it 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, MERN Stack, Predictive Analytics