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metadata 
title: Redrob Intelligent Candidate Ranker
emoji: 🧭
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false
license: mit

Redrob Intelligent Candidate Ranker - live demo

Evidence-based AI candidate ranker for the India Runs (Redrob) Track-1 challenge. This Space runs the full hybrid pipeline live - BM25 + dense bge-small embeddings fused with RRF, then a 7-component signal scorer + trap gate, with grounded reasoning.

Paste/edit the target JD, hit Rank candidates, and inspect the per-candidate score breakdown. Toggle Inject a keyword-stuffer to watch the trap gate demote it.

Code + methodology: https://github.com/DhruvGoyal404/redrob-ranker

Architecture & design

System architecture - offline embedding precompute feeding the CPU-only online ranking pipeline:

System architecture diagram

Module structure (class diagram):

Module class diagram

Use cases:

Use case diagram

This file is the Hugging Face Space config (the frontmatter above). It is intentionally separate from the repo's main README.md so the GitHub README stays clean.