CAMP (Crime Analysis and Monitoring Portal) is a Python-based desktop application designed to assist law enforcement agencies in efficiently managing, analyzing, and recording crime-related data. Built with PyQt5 for the GUI and integrated with MySQL, CAMP combines functionality with usability, including facial recognition-based criminal search using AI.

Our vision is to revolutionize crime analysis and case management by delivering a secure, interconnected, and intuitive software solution. CAMP aims to empower agencies with the tools needed to proactively address crimes, safeguard communities, and enhance public trust—leveraging the synergy of data and artificial intelligence.

• Add, view, edit, and delete station records.
• Data includes name, location, contact, head officer, and prisoner count.

• Maintain records with fields like name, gender, DOB, DOD, case ID, keywords, photo, contact, and prison status.
• Attach and store images securely in binary format.

• Add, update, and close cases.
• Includes case description, associated criminal ID, investigating station, status (Pending/Closed), and outcomes.

• Upload an image to match against stored criminal photos using face_recognition and OpenCV.
• Display matched result with visual comparison and data.

• Intuitive, dark-themed UI built with PyQt5.
• Smooth navigation via stacked widgets and buttons.

• MySQL backend with relational schema and foreign keys.
• Fully supports CRUD operations with error handling.

• Attach images via file dialogs.
• Convert images to and from binary format for database storage.

• Easily converted to .exe using PyInstaller for standalone deployment.

• police_stations
  Stores police station information.

• criminals
  Contains personal details and image data of criminals.

• criminal_cases
  Holds case descriptions, statuses, and outcomes.

Relational mapping is ensured via foreign keys between criminals and criminal_cases.

CAMP/
├── Crime\_App.py              # CLI application logic
├── gui\_app.py                # PyQt5 GUI application
├── database/
│   └── crime\_management.sql  # SQL schema (if provided)
├── assets/                   # Icons, images
├── utils/
│   └── image\_conversion.py   # Binary <-> Image conversion
├── README.md

• Python 3.8+
• MySQL Server
• MySQL Connector (mysql-connector-python)
• Required Python libraries

pip install -r requirements.txt

python gui_app.py

python Crime_App.py

1. Provide an image path when prompted.
2. CAMP uses AI to extract and compare facial features.
3. If a match is found, details are displayed with a visual side-by-side comparison.

***************************************
*   Crime Management System           *
***************************************
1. Add Police Station
2. Add Criminal
3. Add Criminal Case
...
9. Image Search
0. Exit

• Images are stored in binary form within the database.
• Face recognition is local and does not upload any user data externally.
• Error handling in place to manage invalid or missing input securely.

• face_recognition Library
• PyQt5 Documentation
• OpenCV Docs
• MySQL Connector

Add GUI screenshots, database snapshots, and sample outputs here.

Tanishq Som 🔗 GitHub: Tanishq84/CAMP

This project is licensed under the MIT License - see the LICENSE file for details.

CAMP stands as a testament to the powerful synergy between artificial intelligence and law enforcement, enabling safer and smarter communities.