Clean MVVM architecture app to find the best meal to eat. Including Jetpack Compose, Dagger Hilt, Room DB, Retrofit2, Lottie, Junit4, UI tests and more.

A React Leaflet restaurant discovery app.

AI-powered local restaurant researcher. Finds high-quality spots using Gemini + Google Maps grounding, applies strict filters, adds value scoring, and emails clean HTML reports. Built with Streamlit.

AI-powered food and drink discovery platform with conversational search. Find restaurants and cafes based on your mood and preferences using natural language queries. Features include user reviews with photos, location-based discovery, restaurant profiles, and an admin dashboard.

LounasFinder: An interactive web application for discovering and reviewing the best lunch spots. Leveraging Google Maps API and Firebase, it offers a user-friendly platform for finding the perfect meal based on location, cuisine, and user ratings.

[Archived] Scrapy-based autonomous web crawler that used an 8-stage NLP pipeline to discover Amala food spots from Nigerian food blogs. Replaced by lightweight agents and community-driven WhatsApp submissions in the backend API — because the best spots aren't on the internet.

Kapampangan Eats Roots is a culturally-driven web application that promotes heritage food and local eateries in Pampanga. Built with Angular and Node.js, it features an authenticity scoring system, offline-first Progressive Web App (PWA) capabilities, and a mobile-first design to ensure accessibility even in low-connectivity areas.

🕵️ AI-Powered OSINT Food Discovery Skill — 极客级网络寻味探测器

Django REST API powering Amala Atlas — handles multi-channel candidate ingestion (WhatsApp, web, Google Maps, Twitter), source-channel-aware scoring, fuzzy deduplication, dynamic verification thresholds, and promotion to canonical map database. The system of record for every Amala spot.

🍜 Hawker Hunt — a multi-agent RAG system that finds the best Singapore hawker stall for you right now. Built with Claude Sonnet, FastAPI, React, and live NEA + Google Places data.

Community-driven location intelligence platform for discovering, mapping, and verifying Nigeria's best Amala food spots — powered by WhatsApp bot submissions, AI discovery agents, and human verification. Because the best Amala spots don't have Google listings.

Japanese snack curation database — filter by flavor & texture, create tier lists, take the personality quiz, track your collection

Food and restaurant discovery app. Filter by cuisine, taste, price, and allergens to find your next meal.

AI-powered hyperlocal food discovery for Mumbai — street stalls, cafes & cloud kitchens that Zomato doesn't cover. Built with FastAPI, Django, PostgreSQL.

a hyperlocal food discovery platform