garvanand / eco-friendly-suggestion-app

Eco-Friendly Suggestion App

This project is a web application that provides personalized eco-friendly suggestions and recommendations to help users reduce their carbon footprint and adopt more sustainable practices.

Features:

Analyzes user's actions to understand their eco-friendly behaviors and preferences. Generates eco-friendly suggestions based on user actions using AI models and external data sources. Allows users to explore and implement eco-friendly practices in their daily lives. Provides tips, recommendations, and actionable steps for reducing carbon footprint and promoting environmental sustainability.

Technologies:

Frontend: ReactJS with Vite Backend: Node.js with Express AI Models: Custom algorithms, external APIs for eco-friendly data

Additional Notes:

Customize the backend to integrate with eco-friendly APIs and algorithms for generating suggestions based on user actions. Ensure compliance with environmental regulations and best practices in collecting and processing user data. Encourage user engagement and feedback to continually improve the app's effectiveness and relevance in promoting sustainability.

Contributing:

Feel free to contribute to this project by creating pull requests with improvements or additional features aimed at promoting eco-friendly behaviors and practices.

Disclaimer:

This project is for educational and research purposes only. The eco-friendly suggestions provided are based on available data and algorithms and may not cover all aspects of environmental sustainability. Users should exercise their judgment and consider consulting experts for specific eco-friendly practices and solutions.