A secure, tamper-proof, and intelligent evidence management platform that leverages Blockchain technology for integrity, IPFS for decentralized storage, and AI/ML for real-time intruder identification.
In case of unauthorized access, the system captures a photo of the intruder, checks criminal records, and alerts the authorities.
- Immutable Blockchain Ledger – Ensures that evidence records cannot be altered or deleted.
- Decentralized Storage with IPFS – Stores large files securely and makes them accessible only to authorized personnel.
- Intruder Detection – Captures photos upon unauthorized access attempts.
- AI/ML Criminal Record Check – Uses facial recognition to match intruder photos with a criminal database.
- Real-Time Alerts – Notifies security authorities in case of a security breach.
- Role-Based Access Control – Only authorized users can view or upload evidence.
Frontend:
- React.js
- Tailwind CSS
Backend:
- Node.js
- Express.js
Blockchain:
- Ethereum Smart Contracts (Solidity)
- Hardhat
- Web3.js
Storage:
- IPFS (InterPlanetary File System)
AI/ML:
- Python (Face Recognition / Deep Learning Models)
- OpenCV
- TensorFlow / PyTorch
Database:
- MongoDB / PostgreSQL
UBlock/
├── backend/
│ ├── api/ # Express-based API service
│ │ ├── server.js # Entry point for Express server
│ │ ├── routes/ # API routes for various modules
│ │ │ ├── auth.js # Authentication & login routes (MongoDB)
│ │ │ ├── evidence.js # Evidence management routes (MongoDB)
│ │ │ ├── ipfs.js # New routes for IPFS operations
│ │ │ └── blockchain.js # Routes for blockchain operations
│ │ ├── models/ # Database models/schemas
│ │ │ ├── user.model.js # MongoDB user login info
│ │ │ └── evidence.model.js # MongoDB evidence documents
│ │ ├── Downloads/ # All the files downloaded from IPFS
│ │ └── config/ # Configuration files (DB connections, env variables)
│ ├── ml_service/ # Machine Learning service for intrusion detection
│ │ ├── index.js # ML service entry (or proxy to a Python microservice)
│ │ └── models/ # ML models and related code
│ ├── blockchain/ # Blockchain integration using Ethereum
│ │ ├── contracts/ # Solidity smart contracts (e.g., EvidenceProtection.sol)
│ │ ├── hardhat.config.js # Hardhat configuration for contract development
│ │ ├── scripts/ # Deployment & interaction scripts for contracts
│ │ └── tests/ # Unit/integration tests for smart contracts
│ ├── ipfs_service/ # New IPFS service for handling file storage
│ │ ├── index.js # Entry point for IPFS service
│ │ ├── upload.js # Functions for uploading file to IPFS
│ │ ├── retrieve.js # Functions for retrieving files from IPFS
│ │ └── config.js # Configuration for IPFS (e.g., node address)
│ ├── email_service/ # New email service for handling email operations
│ │ ├── sendEmail.js # Functions for sending emails
│ │ └── config.js # Configuration for email service (SMTP settings)
│ └── package.json # Node.js package configuration for backend
│
├── frontend/
│ └── react_app/ # React-based frontend application
│ ├── public/
│ ├── src/
│ │ ├── components/ # Reusable UI components
│ │ ├── pages/ # Page-level components/views
│ │ ├── services/ # API service calls to the backend
│ │ ├── App.js
│ │ └── index.js
│ └── package.json # Node.js package configuration for frontend
├── docs/ # Documentation and project artifacts
│ ├── architecture.md
│ ├── requirements.md
│ └── README.md
├── tests/ # Global tests (unit, integration, end-to-end)
│ ├── backend_tests/
│ ├── frontend_tests/
│ └── blockchain_tests/
└── docker-compose.yml # Container orchestration for multi-service setup
-
Clone the Repository
git clone https://github.com/Sumeets-Code/UBlock.git cd UBlock -
Install Dependencies
# Backend cd backend npm install # Frontend cd ../frontend npm install
-
Configure Environment Variables Create
.envfiles in both backend and frontend with:MONGO_URI=your_mongodb_connection INFURA_API_KEY=your_infura_key IPFS_API_URL=ipfs_gateway_url AI_MODEL_PATH=model_directory_path
-
Deploy Smart Contracts
cd backend npx hardhat run scripts/deploy.js --network <network_name>
-
Run the Project
# Backend cd backend npm run dev # Frontend cd ../frontend npm start
The AI/ML module:
- Uses facial recognition to identify intruders.
- Matches the captured face against criminal databases.
- Generates a threat score and sends alerts.
Model trained on LFW Dataset and fine-tuned for law enforcement datasets.
- End-to-End Encryption of all data transfers.
- Multi-Signature Authorization for evidence approval.
- Blockchain Audit Trails for transparency.
- Decentralized Access Logs to prevent tampering.
| Unauthorized Access Detected | Evidence Blockchain Record |
|---|---|
 |
 |
This project is licensed under the MIT License.
- Sumeet Bhagat – Backend Development
- Shreyash Gardi & Bhanavi Pandey – Frontend Development
- Anoushka Ingle - Testing
For queries, reach out at: 📧 sumeetbhagat1811@gmail.com 🔗 LinkedIn