This project is an AI-powered Multi-Agent Research and Opportunity Matching System designed to connect students, researchers, and startup founders with the most relevant opportunities worldwide. Instead of spending hours browsing different platforms for scholarships, grants, or startup funding, the system automates the entire process through multi-agent collaboration and intelligent data matching. It collects fresh information from trusted websites using web scraping, structures the data into clean formats, and matches it to user profiles based on academic background, research interests, or startup goals. The system has specialized AI agents with distinct focus areas. The Research Agent helps students by matching them with scholarships, fellowships, and exchange programs that fit their CGPA, degree level, and financial needs. The Innovation Agent supports researchers by identifying grants, collaborations, and fellowships aligned with their domains and project ambitions. The Startup Agent caters to founders and entrepreneurs, connecting them with startup grants, accelerators, and funding opportunities suited to their business domain and stage. It also employs natural language processing with LLaMA models, which explain opportunities in clear, student-friendly terms. A responsive interface built with Streamlit ensures smooth interaction, allowing users to explore personalized recommendations presented with match scores and reasoning on why each opportunity is a good fit. By combining automation, AI-powered matching, and multi-agent collaboration, this system offers a scalable solution that democratizes access to global opportunities. It empowers students to reduce financial burdens, researchers to accelerate innovation, and founders to access funding networks through a single intelligent gateway.
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