Fresco Guard.pdf

Overview

Fresco Guard is a groundbreaking crop management solution that seamlessly integrates a dynamic Next.js frontend with a Python backend powered by advanced machine learning models. This single repository houses the complete source code, documentation, and resources for the Fresco Guard project, developed by Team Skyshots during the InnovateNSUT'24.

Features

• Real-time spoilage predictions utilizing Python-based Tensorflow model.
• User-friendly Next.js interface for seamless data input and actionable recommendations.
• Integration with real-time data updates for dynamic and adaptive predictions.
• Continuous refinement through user testing and feedback.

Significance of the Project

In a world grappling with the challenges of food waste, Fresco Guard stands out as a pioneering solution. By combining cutting-edge machine learning models for spoilage predictions with a user-centric Next.js dashboard, the project addresses critical issues in crop management and storage. Fresco Guard empowers users to make informed decisions, optimize warehouse efficiency, and contribute to a more sustainable and efficient food supply chain.

Usage

• Access the Fresco Guard dashboard at http://localhost:3000/dashboard.
• Input data for real-time spoilage predictions.
• Explore actionable recommendations based on predictions.
• Monitor dynamic updates as conditions change.

Team Skyshots

Members

1. Kartik Aggarwal - Team Leader

   • Role: Full Stack & Machine Learning Developer
   • GitHub: github.com/Xaverick

2. Yash Agarwal

   • Role: Machine Learning Developer
   • GitHub: github.com/yashagarwal0812

3. Siddhant Reddy

   • Role: Full Stack Developer
   • GitHub: github.com/siddanth-6365

4. Om Sharma

   • Role: Full Stack Developer
   • GitHub: github.com/OmSharma532004

Hackathon Details

• Hackathon Name: InnovateNSUT'24 (Avinya)
• Date: 20 - 21 January 2024
• Location: NSUT, Delhi

Contributing

We welcome contributions from the community. If you have ideas, bug reports, or feature requests, please open an issue or submit a pull request.

Getting Started

1. Clone the repository:

   git clone https://github.com/siddanth-6365/FrescoGuard.git

2. Navigate to the frontend directory and install Next.js dependencies:

   cd frontend
   npm install

3. Run the Next.js application:

   npm run dev

License

This project is licensed under the MIT License.