📌 Helping Restaurants Serve Nutritious Food Efficiently
🔹 Some customers, especially those with dietary restrictions like diabetes, struggle to manage their food intake at restaurants.
🔹 Many restaurants lack efficient tools to estimate nutritional values of their dishes.
🔹 Poor social media marketing strategies lead to low customer engagement and revenue loss.
✅ Personalized Meal Recommendations – Users get meal suggestions based on their calorie goals and preferences.
✅ Restaurant Inventory Management – Helps manage excess food and redirect it to food banks.
✅ Nutritionist Integration – Restaurants can consult nutritionists to create healthier menu options.
🔸 Users can create a customized meal by selecting preferred ingredients.
🔸 Voice-based smart search helps users find meals based on keywords.
🔸 Extracted keywords are displayed for transparency and refined search results.
🔸 Restaurants can donate surplus food to minimize waste.
🔸 Users can view a detailed ingredient list for each dish.
🔸 Restaurants can easily add and update their menu items.
🔹 Team organized requirements through Google Forms & Research Papers
🔹 Created Prototypes & MVP
🔹 Conducted multiple presentations & iterations
- Sign up on PythonAnywhere
- Upload Flask files and configure the environment
- Create a Virtual Environment
virtualenv --python=/usr/bin/python3.8 myenv source myenv/bin/activate
This README.md provides clear guidance on the project, commands, and how to use the system. Let me know if you'd like any adjustments or additional sections!