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src/README.md

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+---
+title: ShopGuard AI
+emoji: 🛡️
+colorFrom: blue
+colorTo: red
+sdk: streamlit
+sdk_version: 1.32.0
+app_file: app.py
+pinned: false
+---
+
+# 🛡️ ShopGuard AI — Shoplifting Detection System
+
+FYP Demo | YOLO11n → MobileNetV2 → Attention LSTM pipeline
+
+## Models
+| Model | HuggingFace Repo | Scene |
+|-------|-----------------|-------|
+| Model A | higsboson/shoplifting_exp_a | General |
+| Model B | higsboson/shoplifting_exp_b | Kitchen |
+| Model C | higsboson/shoplifting_exp_c | Lab |
+
+## How to Use
+1. Select a model from the dropdown
+2. Adjust the decision threshold slider
+3. Upload a short video clip (mp4/avi/mov/mkv)
+4. Click **Run Inference**
+
+## Pipeline
+- **YOLO11n** detects and crops the person in each frame
+- **MobileNetV2** extracts 1280-dim features per frame
+- **Attention LSTM** classifies the sequence as Shoplifting or Normal

src/requirements.txt

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+streamlit>=1.32.0
+tensorflow>=2.15.0
+numpy>=1.24.0
+opencv-python-headless>=4.8.0
+ultralytics>=8.0.0
+huggingface_hub>=0.21.0