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MAHABELLY

You don’t have to cook fancy or complicated masterpieces, just good food from fresh ingredients. Needless to say, we love eating good food the most and we all know there is no better reward for hard work than having an appetizing meal. Don't waste your precious time in determining what to eat and subsequently accumulate ingredients. By MAHABELLY app you can get recipes in a blink of an eye and that too effortlessly.

Table Of Contents

PROBLEM STATEMENT

Tired of eating the same food. Can’t order meals from restaurants. We go to cooking websites to learn new recipes. We don’t have all the ingredients at our home. Collecting all ingredients increases preparation time. And also increases the overall cost of food.

Idea/ Solution

After a hectic day, the last thing anyone wants to do is make dinner and sometimes you may feel puzzled about what to cook and it may be hard to collect ingredients and preparation can be more time taking and What if you want to try new cuisines then MahaBelly is perfect fit for you.

MahaBelly helps you reinvent delicious cuisines from leftovers present in your refrigerator. Get rid of getting recipes on the internet! Just Click photos of main ingredients and get the recipes according to your taste and choice. You can filter cuisines over Indian, Chinese, Mexican, Thai and many more, vegetarian or non-vegetarian and also the time it will take you to cook. You will get Recipes with video guides making it easier

constraint

a) Used Neural Network model VGG-16 and it was trained on Fruits 360 dataset(Kaggle). b) Integrated our app with Firebase Authentication, Cloud Firestore, Storage, ML Kit. c) Trained VGG-16 on the dataset. d) Converted our ML model to TensorFlow Lite model in the firebase ML Kit and integrated it with our app.*

Built With

a) Programming Languages
b) Frameworks
c) Dataset

Contributors

*- Our ML model couldn’t be converted to TensorFlow Lite and faced many errors. We took help from our mentor, but still we couldn’t accomplish it.

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  • Dart 98.8%
  • Other 1.2%