AI-driven restaurant platform that combines:
AI-based restaurant and dish recommendations
Full-fledged food ordering system
Automated email verification system
Multi-role dashboards (Admin, Chef, Driver, User)
Technologies Used:
Frontend
React.js
HTML & CSS
React Router
Axios
Backend:
Node.js & Express.js (for building REST APIs)
Flask (to integrate AI model into backend)
bcrypt & JWT (for authentication & security)
express-validator
cookie-parser & CORS
Database (Data Storage & Management):
MongoDB + Mongoose
AI & Machine Learning:
Python
Pandas & NumPy
Scikit-learn
SciPy.sparse
Kaggle Dataset
Additional Features & Integrations:
Nodemailer
Body-parser
UUID
Key Features & How It Works
1️⃣ AI-Powered Smart Recommendations
Built a machine learning model using collaborative filtering to recommend restaurants and dishes based on user preferences.
Dataset from Kaggle trained the model to suggest personalized meals based on previous orders, ratings, and food preferences.
AI model runs on Flask and connects seamlessly with the Node.js backend.
2️⃣ Restaurant Ordering System
Users can:
Browse restaurant menus & dishes
Filter by cuisine, ratings, and user preferences
Add items to cart, checkout & place orders
Chefs can:
View incoming orders and update the preparation status
Mark orders as ready for pickup
Drivers can:
View assigned deliveries
Mark orders as out for delivery or completed
Admins can:
Manage users, restaurants, and order history
3️⃣ Automated Email Verification System
New users receive a verification email upon signing up.
Verification link expires after a set time to ensure security.
Uses Nodemailer to send unique verification tokens to registered emails.
Users must verify their email before accessing full platform features.
4️⃣ Multi-Role Dashboard
Each user type has access to a customized dashboard with specific functionalities:
User Dashboard:
View recommended restaurants & dishes
Place & track orders
Verify email before full access
Chef Dashboard:
View pending food orders
Update order status in real-time
Driver Dashboard:
View delivery assignments
Update order status (delivered, delayed, etc.)
Admin Dashboard:
Manage users, restaurants, and orders
No analytics features
Challenges & Solutions
Challenge 1: AI Model Deployment
Solution: Hosted the model as a Flask API and integrated it with the Node.js backend.
Challenge 2: Secure Email Verification
Solution: Used JWT-based verification links to prevent unauthorized access.
Challenge 3: Real-Time Order Tracking
Solution: Used WebSockets to enable instant updates on order statuses.
Challenge 4: Secure Authentication
Solution: Used JWT (JSON Web Token) to manage secure user logins and role-based access control.
This project was a game-changer for me! Seeing AI recommend dishes, process orders, notify users, and verify user emails seamlessly was an incredible experience.
| اسم المستقل | محمد ع. |
| عدد الإعجابات | 0 |
| عدد المشاهدات | 1 |
| تاريخ الإضافة | |
| تاريخ الإنجاز |
