EDAI - Construction Project Management System

A comprehensive construction project management system that combines cost estimation and worker safety monitoring capabilities.

Features

1. Cost Estimation System

• Neural network-based cost prediction for construction projects
• Stage-based and building-based cost estimation
• Material requirements prediction
• Time estimation for construction stages
• Cost estimation in INR

2. Worker Safety Monitoring System

• Real-time PPE (Personal Protective Equipment) detection
• Support for both images and video processing
• Detection of safety gear including:
  • Safety Helmets
  • Safety Vests
  • Safety Gloves
  • Safety Glasses
• Real-time alerts for missing safety equipment
• Video processing with frame-by-frame analysis

System Architecture

The system consists of two main components:

1. Cost Estimation API (Port 5001)

   • Flask-based REST API
   • Neural network models for predictions
   • Standardized data preprocessing

2. Worker Safety API (Port 5000)

   • Flask-based REST API
   • YOLO-based object detection
   • Support for image and video processing
   • Real-time safety gear detection

Prerequisites

• Python 3.8+
• Node.js 14+
• npm or yarn
• Git

Installation

Backend Setup

1. Clone the repository:

git clone <repository-url>
cd EDAI

2. Set up Python virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Python dependencies:

pip install -r requirements.txt

4. Download required models:

• Place YOLO models in the worker_safety_model directory
• Place cost estimation models in the cost_estimation_FLASK/models directory

Frontend Setup

1. Navigate to the frontend directory:

cd frontend

2. Install dependencies:

npm install

3. Create a .env file with the following variables:

REACT_APP_COST_API_URL=http://localhost:5001
REACT_APP_SAFETY_API_URL=http://localhost:5000

Running the Application

Backend Services

1. Start the Cost Estimation API:

cd cost_estimation_FLASK/src
python app.py

2. Start the Worker Safety API:

cd worker_safety_model
python app.py

Frontend Development

cd frontend
npm start

The application will be available at http://localhost:3000

API Endpoints

Cost Estimation API (Port 5001)

• GET /test - Health check endpoint
• POST /api/predict/stage - Stage-based predictions
• POST /api/predict/building - Building-based predictions
• POST /api/predict/all - Combined predictions

Worker Safety API (Port 5000)

• GET /test - Health check endpoint
• GET /health - Detailed health status
• POST /process-media - Process images/videos
• GET /get-processed-media/<filename> - Retrieve processed media

Frontend Structure

Frontend/
├── src/
│   ├── Components/
│   │   ├── CostEstimation/
│   │   ├── Navbar.jsx
│   │   └── Footer.jsx
│   ├── Pages/
│   │   ├── HomePage.jsx
│   │   ├── AboutInputs.jsx
│   │   ├── PredictionForm.jsx
│   │   ├── EstimatedResult.jsx
│   │   └── Routes.js
│   ├── App.css
│   ├── App.jsx
│   └── index.js
├── public/
├── node_modules/
├── package.json
├── package-lock.json
├── tailwind.config.js
├── README.md
└── .gitignore

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Support

For support, please open an issue in the GitHub repository or contact the development team.