kaushalrijal / neurobin

waste classification app

NeuroBin Waste Management WebApp

Table of Contents

• Introduction
• Introduction
• Tech Stacks
• Installation
• Usage

Introduction

NeuroBin is a deep learning based web application which helps us to classify waste and coordinate effective waste management. Users can input waste image and then our model will classify the waste and then helps manage it.

Key features of NeuroBin:

• Waste Classification: Utilizes neural networks to analyze images of waste items and classify them.
• User-friendly Interface: A sleek and intuitive user interface built with React, providing users with a seamless experience.
• Data Logging: Keeps track of waste disposal patterns and provides insightful analytics to both users and administrators.

Tech Stacks

• Frontend:

  • React
  • Tailwind CSS

• Backend:

  • Flask (Python web framework)

• Image Processing:

  • Neural Network ( YOLOV8, OPEN CV )

Installation

Follow these steps to clone and set up NeuroBin on your local machine:

1. Clone the repository:

   https://github.com/manojbaniya444/Hackathon-ACES-6.0.git
   cd Hackathon-ACES-6.0

2. Install frontend dependencies:

   cd Frontend
   npm install

3. Install backend dependencies:

   cd ../Backend
   pip install -r requirements.txt

4. Start the backend server:

   python app.py

5. Start the frontend development server:

   cd ../Frontend
   npm run dev

Now, NeuroBin should be up and running on your local machine.

Usage

To use NeuroBin, simply open your web browser and navigate to http://localhost:3000.