NutriMate is a Django-based meal recommendation system that offers personalized food recommendations for Nepali cuisine based on specific dietary requirements. The system provides customized meal plans, grocery lists, and recipe suggestions using advanced machine learning algorithms, taking into account each user's unique dietary needs, food preferences, and health goals.
Personalized meal plans based on dietary restrictions, food preferences, and health goals Thousands of recipes to choose from Customized grocery lists for each week's meals Social component for sharing and discovering new recipes Explanation of each dietary category for informed decision-making User-friendly interface designed for easy navigation Customer support and tutorials available
The data used in NutriMate comes from various sources, including Nepali food recipe and order data that has been cleaned and preprocessed using Python's pandas library.
NutriMate uses a Nearest Neighbors (NN) algorithm to recommend food options based on user input. The system takes into account factors such as food allergies, intolerances, and specific health goals to provide tailored recommendations that are both delicious and nutritious.
In the future, we plan to expand NutriMate by adding new food items and recipes to our database, as well as partnering with more companies and experts in the nutrition and food industries. We also hope to eventually offer personalized meal planning and delivery services based on user preferences and dietary needs.
If you have any questions or issues with NutriMate,you can create an issue.