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I created this dataset by utilizing the Beautiful Soup library in Python for web scraping. Web scraping documentation
Food Recommendation system ==> Input your height, weight, age, gender, physical activity level, and set your health goal. For instance, if your aim is to gain weight, this model can forecast healthy food options for breakfast, lunch, snacks, and dinner
Food image Classification system ==> If an image of food is uploaded, the system has the capability to predict the type of food and provide information about its nutritional content
Recipe generator ==> When you input a collection of ingredients, the recipe generator will not only generate instructions on how to prepare the food but also determine the appropriate quantities for a healthy dish. It ensures that each step is provided with clear instructions for creating a nutritious meal
git clone https://github.com/ItzmeAkash/Healthy.ai
or you can just download the code and unzip it❯ git clone -b deploy https://github.com/ItzmeAkash/Healthy.ai/
deploy
branch has only the code required for deploying the app (rest of the code that was used for training the models, data preparation can be accessed on master
branch)# To Create the environment
conda create -n healthyai python=3.10.13 -y
# To activate the environment
conda activate healthyai
# To install all the requirements
pip install -r requirements.txt
- And finally run the project with
# Finally run the following command
python main.py
app.py
and now you can use the project locally in your web browser.# cmd
mlflow ui
# cmd
1. dvc init
2. dvc repo
3. dvc dag
Ongoing Project Enhancements 📈
This project is licensed under GNU (GENERAL PUBLIC LICENSE).
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