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Vision Based Inteligent Recipe Recommendation system

Home Page: https://github.com/kunalavghade/VBIRRS/wiki

Shell 0.38% JavaScript 1.93% Python 75.97% CSS 20.41% HTML 1.16% Dockerfile 0.15%
deep-learning project recommendation-system yolov7 copyright-project

vbirrs's Introduction

Vision Based Intelligent Recipe recommendation System

Web based recipe recommendation system to provide food recipes by taking image of vegetables. The deep learning model trained in order to detect the vegetable's present in image.

Web Development

The web section consists of various dynamic pages. the Django based backend and simple front end with HTML, CSS, JS.

following are list the web sections:

  • Signup
  • Login
  • Home
  • Index
  • Contact
  • About

Deep Learning

Deep Learning Algorithm Yolov7 is Trained and Tested on custom vegetable dataset. the performance is evaluated by confusion matrix.

Optimizations

The re-writing of Achor box on image is remove to achieve faster response time and reduce unnecessary computing.

Tech Stack

Client: HTML, CSS, JS, Ajax

Server: Django, PyTorch, Tensorflow

Run Locally

Clone the project

  git clone https://github.com/kunalavghade/VBIRRS

Go to the project directory

  cd VBIRRS

Start the server

  python manage.py runserver

vbirrs's People

Contributors

theunderdogdev avatar kunalavghade avatar

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