GithubHelp home page GithubHelp logo

biplabgorain / final-year-project Goto Github PK

View Code? Open in Web Editor NEW
7.0 2.0 2.0 75.07 MB

A final year project on RecipecLens( Food image to recipe generation)

Python 45.94% CSS 21.27% HTML 32.79%
college-project css css3 densnet django final-year-project html html5 machine-learning model-analysis

final-year-project's Introduction

RecipeLens

Grinning Face Robot

Overview

RecipeLens is a project designed to help people by providing recipes along with the required ingredients for various dishes. Users can simply take a picture of the food or upload an image, and RecipeLens will identify the dish and provide the corresponding recipe. This innovative approach leverages image recognition technology to simplify the process of finding recipes and preparing meals.

Features

  • Image Recognition: Upload a photo or take a picture of a dish, and RecipeLens will identify it.
  • Recipe Suggestions: Get detailed recipes for the identified dishes, including a list of required ingredients.
  • User-Friendly Interface: Easy-to-use interface for a seamless user experience.

File Structure

Final-Year-Project
│
├── PPT
│   └── Presentation on RecipeLens.pptx
│
├── Documents
│   ├── A Project Report on Recipelens.pdf
│   └── A Project Report on Recipelens.docx
│
├── Source Code
│   ├── Info.txt
│   ├── RecipeLens
│   │   ├── src
│   │   │   ├── main
│   │   │   │   ├── migrations
│   │   │   │   ├── static
│   │   │   │   │   └── main
│   │   │   │   │       ├── icons
│   │   │   │   │       ├── indian_recipes.json
│   │   │   │   │       └── style.css
│   │   │   │   ├── templates
│   │   │   │   │   └── main
│   │   │   │   │       └── home.html
│   │   │   │   ├── __init__.py
│   │   │   │   ├── admin.py
│   │   │   │   ├── apps.py
│   │   │   │   ├── encoder.py
│   │   │   │   ├── forms.py
│   │   │   │   ├── models.py
│   │   │   │   ├── tests.py
│   │   │   │   ├── urls.py
│   │   │   │   └── views.py
│   │   │   ├── RecipeLens
│   │   │   ├── db.sqlite3
│   │   │   ├── enc_names.txt
│   │   │   ├── encoding.txt
│   │   │   └── manage.py
│   ├── venv
│   └── requirments.txt

Setup Instructions

1. Create a Virtual Environment

To create a virtual environment named venv in the same location as it is in the file structure:

  1. Open a terminal (Command Prompt, PowerShell, or terminal application on your operating system).

  2. Navigate to the Source Code/RecipeLens directory using the cd command. Replace path/to with the actual path to the Final-Year-Project folder on your computer.

    cd path/to/Final-year-Project/Source Code/RecipeLens
  3. Create a virtual environment named venv using the following command:

    python -m venv venv

2. Activate the Virtual Environment

To activate the virtual environment:

  • On Windows:

    venv\Scripts\activate
  • On macOS/Linux:

    source venv/bin/activate

When the virtual environment is activated, you will see (venv) at the beginning of your terminal prompt.

3. Install Required Libraries

To install all the libraries mentioned in the requirments.txt file:

  1. Ensure you are still in the Source Code/RecipeLens directory and the virtual environment is activated.

  2. Run the following command:

    pip install -r requirments.txt

This command will install all the dependencies listed in the requirments.txt file.

4. Run the Django Development Server

To start the Django development server:

  1. Navigate to the src directory:

    cd src
  2. Run the Django development server using the manage.py file:

    python manage.py runserver

5. Access the Localhost Address

After successfully running the command, you will see output similar to the following in your terminal:

Starting development server at http://127.0.0.1:8000/

Open a web browser and go to the address http://127.0.0.1:8000/ to view the running Django application.

Contributors

final-year-project's People

Contributors

biplabgorain avatar vishnusharma7 avatar

Stargazers

 avatar  avatar  avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.