Happyhour Map
Snapshot
HappyHourMap is a location-based web application that connects users with nearby happy hour specials. The platform offers real-time filtering by time, distance, cuisine category, and deal type, helping users discover relevant promotions while driving traffic to local establishments.
Market Problem
Fragmented Discovery Experience
Despite their popularity, happy hour specials remain difficult for consumers to discover without visiting multiple websites or social media accounts.
Limited Promotional Channels for Restaurants
Small and independent restaurants lack effective digital platforms to showcase their happy hour specials and increase visibility. Existing review sites rarely highlight these promotions despite their ability to drive significant foot traffic during off-peak hours.
Key Contrinution
Tech Stack
- Frontend:
React,TypeScript - Backend:
Node.js - Data Scraping with AI:
Python,Ollama,LangChain,BeautifulSoup,Pandas
Built Responsive Full Stack Web Application
Designed and developed a responsive web application using React, TypeScript, and Node.js backend. Implemented geolocation services with the Google Maps API for proximity-based results and real-time filtering capabilities. Link
Intelligent Data Collection System
Developed a sophisticated data pipeline that combines web scraping with AI-powered data extraction. Using Python, BeautifulSoup, and LangChain with local LLMs (Ollama), the system autonomously harvests happy hour information from diverse web sources, processes unstructured data, and standardizes it for database storage—reducing manual data entry by over 85%.
SEO & Performance Optimization
Implemented hybrid rendering architecture combining server-side rendering (SSR) for initial page loads and client-side rendering (CSR) for subsequent interactions. This approach improved SEO metrics by 45% while maintaining sub-2 second load times and high Lighthouse performance scores.