/Hariyo-Chasma

“हरियो चस्मा” is a cutting-edge AI-based solution that utilizes machine learning to detect littering. It offers a real-time application that integrates with CCTV cameras to identify individuals who throw trash on the streets

Primary LanguageJupyter Notebook

Hariyo Chasma Project

Overview

The Hariyo Chasma Project aims to tackle the problem of littering by using AI-based surveillance. Our project involves a mobile application for user authentication and a machine learning model for detecting littering incidents using CCTV footage.

Table of Contents

  • Installation
  • Usage
  • Contributing
  • License

Installation

Prerequisites

  • Node.js
  • React Native
  • Expo CLI
  • Python 3.x
  • Ultralytics YOLO
  • Roboflow API Key

Setup

  1. Clone the repository: 
    git clone https://github.com/PriyanshuSharma1/hariyo-chasma.git
cd hariyo-chasma
  2. Install dependencies for the React Native app: 
    cd mobile-app
npm install
  3. Install Python dependencies: 
    pip install ultralytics roboflow
  4. Set up the Roboflow project: 
     from roboflow import Roboflow
 rf = Roboflow(api_key="YOUR_API_KEY")
 project = rf.workspace("hariyo-chasma").project("hariyo-chasma-labelled-dataset")
 version = project.version(2)
 dataset = version.download("yolov9")