Technologies Used:
-
Android App (Firebase Backend): Java, XML, Firebase, Firebase Cloud Functions, Firebase Cloud Messaging, Dialogflow, Razorpay API
-
Web App (Firebase Backend): HTML, CSS, Javascript, React JS, Redux, Firebase (Database), Node.js, Custom Chatbot
- Web Link : https://fooddelivery-d9c7a.web.app/
-
Web App (Java Backend): React JS, Redux, Spring Boot, Hibernate, MySQL, JWT, AWS EC2, AWS S3, AWS RDS, Docker, Kubernetes, Jenkins
-
Web App (MERN Backend): React JS, Redux, Node.js, Express.js, MongoDB, Mongoose, JWT, REST APIs, AWS (EC2, S3, RDS), Docker, Kubernetes, GraphQL, Socket.IO, Postman (API Testing)
-
Custom Chatbot: Python, React Js, Fine-Tuned LLM (OpenAI GPT-4), CLIP, TensorFlow, Docker, Kubernetes, Terraform, Flask, FastAPI, AWS (EC2, S3), GCP, Apache Kafka, TensorFlow Lite, ONNX Runtime, Go, Rust
Features:
-
Developed a comprehensive online ordering system deployed across multiple platforms with common database.
-
Successfully deployed at LNMIIT College since Sept'2023 for night deliveries, dine-in and takeaway orders, serving over 3000 active users with 10,000+ orders till date since launch with 5 simultaneous operating stores.
-
Supports multi-vendor system, real-time order tracking, advanced notifications, and secure payment gateway integration.
-
Implemented key features such as
- user authentication,
- vendor, user and delivery dashboards,
- multiple order modes like delivery, takeaway and dine-in system,
- stock and order management,
- sales statistics and analysis,
- in-app chat with vendors,
- Razorpay Payment Gateway
- order history,
- group ordering system,
- split bills,
- chatbot-enabled order placement
- Google Maps directions,
- coupon system,
- technical support, etc.