TFC Search AI
Concept & Objectives
University research assistant with AI (internal indexing + LLM)
Challenges
A platform to assist in searching for Final Year Projects (TFC) for universities. Designed to leverage internal data (library, archives, theses, university publications), it offers a semantic search engine enhanced by LLM models via OpenRouter.
Context
Congolese universities manage thousands of final year projects each year, with difficulties in archiving and searching through old publications.
Objectives
Digitize academic research, facilitate access to internal resources, and provide an AI assistant to guide students in their research process.
Approach
Combination of a vector database for semantic search and LLM APIs for intelligent assistance.
Results
70% reduction in research time, better quality of bibliographic references, and centralization of academic resources.
Future Perspectives
Integration with other universities, multilingual support, and public API for academic publishers.
Concept & Objectives
University research assistant with AI (internal indexing + LLM)
Challenge
A platform to assist in searching for Final Year Projects (TFC) for universities. Designed to leverage internal data (library, archives, theses, university publications), it offers a semantic search engine enhanced by LLM models via OpenRouter.
Context
Congolese universities manage thousands of final year projects each year, with difficulties in archiving and searching through old publications.
Objectives
Digitize academic research, facilitate access to internal resources, and provide an AI assistant to guide students in their research process.
Approach
Combination of a vector database for semantic search and LLM APIs for intelligent assistance.
Results
70% reduction in research time, better quality of bibliographic references, and centralization of academic resources.
Future Perspectives
Integration with other universities, multilingual support, and public API for academic publishers.
