- An interactive in-restaurant application that provides a seamless experience and is outfitted with the best features available, including a voice assistant for easy interface navigation, emotion-based food recommendations, a secure payment gateway, and single QR scanning. You can visit the restraunt on the following URL: https://mars-client-seven.vercel.app/
- PPT Link: https://www.canva.com/design/DAFcRwQ0mrs/xhG-YdRMu3zDSL0krUeKww/view?utm_content=DAFcRwQ0mrs&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton
- Frontend is implemented using React JS.
- Backend of the project is implemented using Node JS.
- MongoDB is used as a NoSQL database.
- Alan AI is used for building voice assisstance .
- Git is used for version control.
- Flask Restful API is used for suggesting food based on the mood.
- front-end of the project is present in this repository
- all the individual pages can be found inside
src/pages
directory - all react components can be found inside
src/components
directory
1. Login with Email and Password | 4. Voice Assistant |
2. Single-scan service with QR Code | 5. Introduction of Order Sequencing |
3. Food recommendation based on emotions | 6. Secured Payment Gateway |
- User information is saved in the MongoDB database.
- The password is hashed first and then stored.
- Authentication is done using JSON Web Token (JWT).
- The calendar after successful login would be an empty one.
- Use our voice navigation feature to have a contact-free experience if you don't want to be bothered by anyone, like a waiter.
- Alan AI is used to integrate a voice assistant into the application.
- Navigation in the web app can be done using voice commands.
- We provide a single-scan service at our restaurant.
- Customers can now use the application by boarding the rocket by scanning the QR code that is attached.
- Welcome to the first restaurant on Mars, where you can order food based on your current mood.
- Secure Payment Gateway
- All simple conversations
- Ask about what this application does
- Navigate through the application
- Food recommendation based on sentiments