Pipe Counting App

This is a Flutter application that detects and counts pipes in an image using a Flask backend with a YOLOv8 model. The app allows users to upload an image, processes it on the backend, and returns the image with detected pipes along with the pipe count.

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📌 Features

• Upload an image from the gallery or camera.
• Sends the image to a Flask backend for pipe detection.
• Receives a processed image with pipes mapped.
• Displays the number of detected pipes.
• Fast processing with YOLOv8.

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🚀 Getting Started

Setup (For running it locally)

Prerequisites:

• Python 3.x
• Flask
• OpenCV
• YOLOv8
• NumPy
• PIL
• Flask-CORS
• Requests

Make sure to change the render website link to the URL on which Flask is runnning locally.

Installation:

git clone https://github.com/Nikhil-1426/Pipe_Counting_App.git

cd Pipe_Counting_App/flask_backend
pip install -r requirements.txt
python app.py

cd ..
flutter run

Setup (For running it using Render)

Prerequisites:

• Make sure that the render server is live ( https://pipe-counting-app.onrender.com )

Installation:

git clone https://github.com/Nikhil-1426/Pipe_Counting_App.git
cd Pipe_Counting_App
flutter run

Screenshots

TechStack

1. Flutter / Dart:
   • Used for building a seamless, cross-platform mobile application with a user-friendly interface designed for global travellers.
2. Flask API:
   • Handles backend processes for trip analysis, health profiling, and REST API calls, ensuring seamless communication between the app and AI services.
3. Render:
   • Used for deploying the Flask backend, providing a scalable and reliable cloud platform to host the API, ensuring seamless access and performance for users worldwide.

Happy coding 💯