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Browse files- README.md +60 -3
- app.py +5 -0
- requirements.txt +0 -1
README.md
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---
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title:
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emoji:
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colorFrom: blue
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sdk: gradio
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sdk_version: 6.14.0
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python_version: '3.11'
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app_file: app.py
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pinned: false
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license: mit
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---
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title: Face Verification
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emoji: 🧠
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sdk: gradio
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sdk_version: 6.14.0
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python_version: '3.11'
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app_file: app.py
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short_description: "Face verification demo with FaceNet and VectorDB"
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pinned: false
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license: mit
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---
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# Face Verification
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AI Engineering Demo project demonstrating an end-to-end face verification workflow with FaceNet embeddings, ChromaDB vector search, and an interactive Gradio interface.
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The app lets users add known people to a local embeddings database and verify whether a new face image matches one of the stored identities.
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## Features
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- Face detection and preprocessing from uploaded images
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- FaceNet embedding extraction with PyTorch
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- Similarity search with ChromaDB
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- Interactive Gradio UI with add-person and verify-identity flows
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- Hugging Face Spaces deployment-ready structure
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## Tech Stack
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- Python
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- PyTorch
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- FaceNet / facenet-pytorch
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- ChromaDB
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- Gradio
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- Hugging Face Spaces
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## Run Locally
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Using uv:
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```bash
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uv sync
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uv run python app.py
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```
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Using pip:
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```bash
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pip install -r requirements.txt
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python app.py
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```
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## Project Structure
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```text
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src/faceverification/
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app.py
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config.py
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core/
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image_processor.py
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vectordb.py
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services/
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face_verification.py
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```
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## Demo Focus
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This project highlights practical AI engineering skills: model-based feature extraction, vector database integration, application packaging, automated deployment, and a simple user-facing ML interface.
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app.py
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from faceverification.app import FV_gr
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if __name__ == "__main__":
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent / "src"))
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from faceverification.app import FV_gr
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if __name__ == "__main__":
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requirements.txt
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# This file was autogenerated by uv via the following command:
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# uv export --locked --no-hashes --format requirements.txt --output-file requirements.txt
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-e .
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aiohappyeyeballs==2.6.1
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# via aiohttp
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aiohttp==3.13.5
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# This file was autogenerated by uv via the following command:
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# uv export --locked --no-hashes --format requirements.txt --output-file requirements.txt
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aiohappyeyeballs==2.6.1
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# via aiohttp
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aiohttp==3.13.5
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