Rasaalaya — Restaurant Listing & Ordering Platform
Flask-powered web app for browsing, ordering, and reserving at restaurants
Project Overview
Rasaalaya is a feature-rich, responsive web application built with Flask that allows users to explore restaurants, browse menus, place food orders, and make table reservations. Designed with both functionality and aesthetics in mind, it supports a seamless ordering experience with Light/Dark mode, community forums, and a modern UI built using Jinja2 templates.
Project Impact
Key Features
Restaurant Listings by Cuisine
Advanced implementation of restaurant listings by cuisine with modern best practices.
Image-Driven Menus
Advanced implementation of image-driven menus with modern best practices.
Online Order Placement
Advanced implementation of online order placement with modern best practices.
Table Reservation System
Advanced implementation of table reservation system with modern best practices.
Light & Dark Mode Toggle
Advanced implementation of light & dark mode toggle with modern best practices.
Community Forum Integration
Advanced implementation of community forum integration with modern best practices.
Technology Stack
This project leverages cutting-edge technologies to deliver exceptional performance and user experience.
Frontend
Backend & Database
Project Gallery
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Development Process
Planning & Research
Comprehensive analysis of requirements and market research to define project scope and objectives.
Design & Prototyping
Creating wireframes, mockups, and interactive prototypes to visualize the final product.
Development & Testing
Agile development approach with continuous testing and quality assurance throughout the process.
Deployment & Monitoring
Production deployment with ongoing monitoring, maintenance, and performance optimization.
Challenges Overcome
Building a seamless user experience for ordering and reservations while managing state between multiple views and templates required careful Flask routing and session management.
Project Impact
Simplified the digital ordering process for local eateries and served as a template for Flask-based full-stack web applications.
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