https://github.com/sarthak-1408/indian-food-classification

This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food
https://github.com/sarthak-1408/indian-food-classification

classification-model deep-learning deep-neural-networks flask flask-application image-classification keras-neural-networks keras-tensorflow tensorflow

Last synced: about 1 month ago
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This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food

• Host: GitHub
• URL: https://github.com/sarthak-1408/indian-food-classification
• Owner: Sarthak-1408
• Created: 2021-06-14T13:52:37.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-06-15T04:47:51.000Z (over 3 years ago)
• Last Synced: 2023-07-28T16:24:37.977Z (over 1 year ago)
• Topics: classification-model, deep-learning, deep-neural-networks, flask, flask-application, image-classification, keras-neural-networks, keras-tensorflow, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 14 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: history_v1_inceptionV3.log

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README

        
# Indian Food Classification

Demo Video :point_down:

https://user-images.githubusercontent.com/72247049/121991922-3913a080-cdbe-11eb-9234-a6498050ead0.mp4

Demo Image :point_down:

![Screenshot from 2021-06-14 22-38-30](https://user-images.githubusercontent.com/72247049/121991992-5ba5b980-cdbe-11eb-971c-182bb1a0913b.png)

![Screenshot from 2021-06-14 22-38-01](https://user-images.githubusercontent.com/72247049/121992054-7aa44b80-cdbe-11eb-8975-f82da1c28f16.png)

 - This Repo Represents **"Indian Food Classification"**

 - with the help of this project we can easily identity Indian Foods

 

# Description :clipboard:

 - I use Transfer learning (InceptionV3 Model) to create this model and got a 92% accuracy and I Perfrom some EDA 

   to check each classes and Check number of training examples of each food.

 - This project will help people from other countries to classify Indian food easily.

 - I also Perform Data Augmentation for increasing the number of training examples , Data Augmentation can also reduce Overfitting.

 - I use callbacks can helps you prevent overfitting, visualize training progress, debug your code, save checkpoints, generate logs etc.

 - I use InceptionV3 Pre-Trained and got Training Accuracy 93% , you can also use other Pre-Trained Model like ResNet50 , Vgg19 etc

 - I use Flask to create a Web app and make an easy or Simple UI

 

# Dataset :bulb:

 - Download the Dataset here :point_down:

 - https://www.kaggle.com/theeyeschico/indian-food-classification

 

# Installation :desktop_computer:

  - scikit-learn==0.24.1

  - pandas==1.1.3

  - numpy==1.18.5

  - seaborn==0.11.1

  - missingno==0.4.2

  - imblearn==0.8.0

  - tensorflow==2.5.0

  - matlotlib==3.4.2

   etc

  

 To install the required packages and libraries, run this command in the project directory after cloning the repository:

 

 ```

 pip install -r requirements.txt

```

# Motivation 💪 

 What to do when you are at home due to this pandemic situation? I started to learn Machine Learning and Deep learning 

 in last 8 months . I came to know mathematics behind all supervised models. Finally it is important to 

 work on application (real world application) to actually make a difference.

 

# Bug / Features

 If you find any bug or other problem regarding this project so just contact me on handles given below or also create an issue in issue section

 - **Linkdin** - https://www.linkedin.com/in/sarthak-sharma-5472aa1a0/

 - **Gmail** - [email protected]