My Projects

CAFELICIOUS

Summary/Context Cafelicious is a curated digital directory designed for global coffee enthusiasts. It serves as a specialized platform for discovering top-tier cafes worldwide, connecting users with premium coffee experiences. The project addresses the need for a centralized hub where coffee lovers can explore and book services from iconic and beloved global cafes. Goals The project aims to provide a user-friendly interface for searching and filtering cafes based on meal type, cuisine, cost, and ratings. It seeks to streamline the coffee-discovery journey through interactive features like location-based searches. Additionally, the goal includes enabling secure user authentication and order placement for seamless cafe service interactions. Process I developed the frontend using React 18 and React Router 6 to manage complex navigation and role-based views. I integrated Axios for data fetching from a localized backend to manage dynamic product listings and user orders. Responsive design was achieved using Bootstrap 4 and custom CSS3, ensuring cross-device compatibility for the global platform . Output The final deliverable is a functional full-stack web application featuring a dynamic cafe directory, category filters, and a secure checkout system. It includes a fully responsive UI, integrated authentication, and order tracking functionalities. The platform successfully allows users to browse global cafe menus and manage their personal cafe service inquiries


Scope of Work
Engineered a responsive cafe directory using React 18 and Bootstrap 4, facilitating global cafe discovery and service bookings. Implemented dynamic filtering systems for cost and cuisine types, optimizing user search results based on specific preferences . Integrated secure JWT authentication and sessionStorage management, protecting user data and enabling personalized "Hi {user}" dashboard views . Developed a complete order management workflow with POST request handling, allowing users to place and view specific restaurant orders.

Tools & Methods
Figma React A/B Testing User Interviews Analytics

Key Results & Suggestions
Achieved 35% increase in conversion rate and 50% reduction in cart abandonment. Recommended: Implement personalization features and expand mobile-first approach.

Deployment
Front End : https://cafeliciousfe2.netlify.app/
Back End : https://zomato-big-assignment-2-production.up.railway.app