EcoTrack is a web application that empowers office managers to monitor and reduce resource consumption, making workplaces more sustainable. With AI-powered insights and trend visualization, EcoTrack helps users optimize energy, water, and paper usage, ultimately lowering costs and environmental impact.

Environmental Impact: EcoTrack addresses sustainability goals by helping offices track and reduce their resource usage, promoting greener practices in daily operations. Artificial Intelligence: An intelligent assistant that provides instant feedback and actionable tips to optimize office resource usage and reduce environmental impact.

• Resource Tracking: Input monthly data for energy, water, and paper usage, providing a centralized resource management tool for offices.
• Usage Trends: Visualize resource consumption trends over time with clear, interactive charts that identify areas for improvement.
• AI-Powered Efficiency Suggestions: Receive actionable tips powered by AI to reduce resource wastage, helping offices save on utilities and reduce their environmental footprint.

Frontend

• React: For building dynamic and responsive UI components.
• Next.js: Framework for server-side rendering and optimizing page load speeds.
• Chart.js: For creating interactive charts that visualize usage trends.
• Framer: For adding animations and enhancing user experience.

Backend

• Python: Used for data processing and AI-based suggestions.
• Flask: A lightweight backend framework for handling API requests and processing resource data.

Data Analysis

• Pandas: Used for data parsing and statistical analysis to generate monthly averages and usage patterns.

1. Clone the repository:

   git clone https://github.com/faizm10/HackTrent

2. Navigate into the project directory:

   cd EcoTrack

3. Install frontend dependencies:

   npm install

4. Install backend dependencies (create and activate a virtual environment):

   python -m venv venv
   source venv/bin/activate  # or `venv\Scripts\activate` on Windows
   pip install -r requirements.txt

5. Run the backend server:

   python main.py

   The backend server should now be running on http://localhost:5000.

6. Run the frontend:

   npm run dev

   Your app should now be running on http://localhost:3000.

1. Enter Resource Data:

   • Log your office’s monthly resource usage for energy, water, and paper.

2. View Usage Trends:

   • Access the dashboard to track resource usage trends over time, making it easy to identify periods of high or low consumption.

3. AI-Powered Suggestions:

   • Receive simple, AI-driven recommendations based on your data to help improve efficiency and reduce resource wastage.

EcoTrack/
├── frontend/
│   ├── components/         # React components for UI elements and charts
│   ├── pages/              # Next.js pages for routing
│   ├── public/             # Static assets such as images and icons
│   ├── lib/                # Libraries and helper functions for frontend logic
│   ├── styles/             # CSS and styling files
│   └── utils/              # Utility functions used across the frontend
├── backend/
│   ├── main.py             # Main backend server file using Flask
│   ├── requirements.txt    # Python dependencies for the backend
│   └── utils/              # Utility functions for data processing
├── README.md               # Project README with setup and usage instructions
└── LICENSE                 # Project license file

EcoTrack welcomes contributions to enhance functionality and usability. Here’s how you can contribute:

1. Fork the repository on GitHub.
2. Create a branch: git checkout -b your-branch-name
3. Commit your changes: git commit -m "Add a brief description of your changes"
4. Push to the branch: git push origin your-branch-name
5. Open a pull request on GitHub to submit your changes for review.

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

1. Expand AI Recommendations: Leverage more detailed data analytics to generate tailored recommendations.
2. Add Real-Time Monitoring: Implement live data tracking for more immediate insights.
3. Integrate with IoT: Incorporate IoT sensors to automate data collection for even more accurate insights.

• Project Name and Description: EcoTrack – AI-Driven Resource Efficiency Tracker for Offices.
• Challenge Category: Environmental Impact + Artificial intelligence
• Features and Functionality: See Features section above.
• Demo Video: [Link to video showcasing EcoTrack in action (add after recording)].
• Code Repository: GitHub repository.
• Code Repository: DevPost.
• Technical Documentation: Refer to Project Structure and Usage sections for setup and architecture details.
• Future Scope and Improvements: See Future Scope and Improvements section.