PolyHacks-H24

EcoSort - Waste Sorting Assistant

Welcome to EcoSort Guide, a waste sorting assistant application developed for the PolyHacks 2024 Hackathon. This project aims to help users efficiently sort their waste by providing real-time guidance on how to properly dispose of various items.

Project Overview

EcoSort leverages computer vision to analyze images of waste items and offers user-friendly instructions on how to segregate them into different categories, promoting environmental sustainability and proper waste management.

Features

• Image Recognition: Utilizes computer vision to recognize waste items.
• Sorting Instructions: Provides clear and concise instructions on how to properly sort each item.
• Statistical Resources: Includes statistical content host with mongoDB.

Prerequisites

• Python 3.6+
• Dependencies: [streamlit, pandas, numpy, torch, torchvision, matplotlib, pymongo[srv]]

Usage

Jupyter Notebook

Explore the initial development and analysis in the Jupyter Notebook available here.

Training Notebook

Streamlit App

To run the Streamlit app, follow this link:

https://streamlit.app

Installation

1. Clone this repository:

   git clone https://github.com/amineghabia/PolyHacks-H24.git
   cd PolyHacks-H24

2. Install dependencies:

   pip install -r requirements.txt

3. Run:

   streamlit run streamlit_app.py