AI-Driven Intelligent Business Opportunity Discovery and Tender Matching System with Semantic Analysis and Modeling

Author(s)	Ms. Ananya SG, Ms. CP Anushka Teju, Ms. Sujitha S
Country	India
Abstract	This project presents a Flask-based web application for searching and managing public procurement tenders. It uses Sentence Transformers (all-MiniLM-L6-v2) and FAISS for semantic search, PyMuPDF for PDF text extraction, and Google Gemini for AI-based question answering. The system also supports company profiles and saved tender opportunities. However, the current prototype does not fully integrate these components for accurate tender matching. Eligibility scores rely on predefined rules rather than actual company and tender data comparisons. Further improvements are needed to integrate the components, evaluate performance, and provide more reliable tender recommendations.
Keywords	Tender discovery, Semantic Search, Sentence Transformer, FAISS, PDF Processing, Retrieval Augmented Generation, Flask, Procure-ment.
Field	Engineering
Published In	Volume 17, Issue 4, October-December 2026
Published On	2026-11-13

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International Journal on Science and Technology