Web Information Retrieval / AI Agents
Job Finder
AI-assisted company search platform using the French official company registry.
- Role
- Developer / AI & search pipeline contributor
- When
- 2025 — 2025
- Status
- course project
The project tackles the difficulty of finding companies for internships when a sector and city do not map cleanly to official NAF activity codes. AI agents help interpret the user query, identify relevant business sectors and NAF codes, search the official French company registry, and perform deeper research for contacts, links, and internship opportunities.
video game company in Montpellier
About 23 genuinely relevant results (0.42 seconds, several LLM calls)
job-finder.search › sector-analysis
AI-assisted NAF code mapping
"video game company" doesn't exist in the official registry — agents translate the intent into the right NAF activity codes before searching.
job-finder.search › sirene-registry
French official company registry integration
Every result is a real registered company, filtered by city, sector and activity status.
job-finder.search › enrichment
Deep research on each company
Agents dig for websites, contacts and signals that a company actually takes interns.
job-finder.search › ranking
Internship-oriented results
Built by students who needed internships, for exactly that problem.
What I did
- Worked on the design and implementation of the company search platform.
- Helped define AI-assisted mapping from user sector queries to official NAF codes.
- Used the French official company registry as a structured data source.
- Implemented or contributed to backend/frontend search flows and export/research capabilities.
Project timeline
Web Information Retrieval course project using AI agents and the French company registry to find internship-relevant companies.
-
2025 ~ Idea
Problem and motivation
Identified the internship-search problem: finding all companies in a sector and city is time-consuming and poorly supported by existing tools.
-
2025 ~ Planning / Research
NAF-code and registry research
Built the approach around the French official company registry and NAF-code mapping, including AI help because sector-code mapping can be vague.
-
2025 ~ Development
AI-agent search pipeline
Implemented a query-analysis pipeline where agents map a user query such as “video game company in Montpellier” to candidate company sectors and contact research.
-
2025 ~ Release / Delivery
Course delivery
Delivered the Web Information Retrieval platform as a course project.
Built with
- Web Information Retrieval
- AI agents
- RAG
- React
- Backend APIs
- French company registry
- NAF codes