Feature Added: Diet Recommendation System with Machine Learning for Calorie and Dietary Type Predictions

[RB137]

Related Issues or bug

• Implement machine learning models for accurate calorie estimation and dietary type recommendations.

Fixes: #746

Proposed Changes

• 🍽️ Machine Learning Models: Integrated Random Forest Regressor and Classifier to accurately predict calorie needs and dietary types based on user inputs, enhancing the dietary recommendation process.

• 📊 Synthetic Dataset: Created a synthetic dataset that simulates user profiles with features like Age, Gender, Weight, and Activity Level, ensuring effective model training and better prediction accuracy.

• 🔍 Feature Engineering: Implemented one-hot encoding for categorical variables to improve the models' ability to learn from diverse input data.

• 🥗 Dynamic Diet Recommendations: Developed a system that provides personalized meal plans based on predicted dietary types, including options for balanced, high-protein, and low-carb diets.

• 🛠️ Tech Stack: Utilized Python along with essential libraries such as Pandas, NumPy, and Scikit-learn for data handling and machine learning functionalities.

• 🔮 Future Updates: Plans to integrate real-world datasets for improved accuracy, enhance user feedback mechanisms to refine recommendations, include a wider variety of dietary preferences (e.g., vegetarian, gluten-free), and develop a user-friendly interface for easier interaction with the system.

Additional Info

• Addresses dietary recommendation personalization and prediction accuracy.

Screenshots

Updated

README.md :

LICENSE.md:

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[github-actions[bot]]

👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. Don't forget to mention the issue you solved!.

To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review!

[RB137]

Hi @UppuluriKalyani ! 👋

This PR upgrades the diet recommendation system with ML-based predictions, meeting Level 2 requirements. All docs, including README, LICENSE, and requirements.txt, are added for easy setup. Please review and consider marking it as Level 2. Thank you!

[github-actions[bot]]

🎉🎉 Thank you for your contribution! Your PR #752 has been merged! 🎉🎉