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.

[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.

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.

a hyperlocal food discovery platform

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

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.

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

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

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

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.