Jiarui-0410/multimodal-product-discovery
Full-stack multimodal product retrieval and personalized reranking with CLIP, FAISS, Spring Boot, FastAPI, and PostgreSQL.
About the project
Full-stack multimodal product retrieval and personalized reranking: CLIP and FAISS fetch candidates, while Spring Boot and PostgreSQL store profiles and rerank results.
Useful for
- Run text or image product search through the Streamlit UI and Spring Boot API
- Build personalized recommendations from a user's view, click, and purchase history
- Evaluate retrieval quality with Precision@K, Recall@K, and NDCG@K via the evaluation endpoint
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 62 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 71 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #188.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 71
- Today
- 0 · ≈ 62 by evening
- Forks
- 1
- Issues and pull requests
- 0
- Watchers
- 2
- Language
- Python
- License
- MIT
- Created
- September 26, 2026
- Last push
- September 26, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 27, 2026Top new repositories this week: #188
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