DealMeal: AI Deal Finder
DealMeal revolutionizes how people discover food deals by leveraging advanced AI algorithms to analyze restaurant menus, pricing patterns, and user preferences. Our machine learning models process thousands of deals daily, providing personalized recommendations that save users up to 40% on their dining expenses. The app features real-time deal detection, location-based filtering, and intelligent notifications that alert users to the best offers in their vicinity.
Timeline
8 Months
Team
2 mobile developer, 1 full-stack developer, 1 devOps enigneer
Key Features
AI DealRanker chatbot
Unified deal aggregation
Live deal updates
Location-based suggestions
Visual deal mapping
Referral rewards system
Technologies Used
React NativeRustTypescriptPythonDockerMicroservicesMongoDBExclusive crawlers
Challenges
Processing large volumes of restaurant data in real-time
Implementing accurate location-based filtering
Optimizing AI model performance on mobile devices
Ensuring data freshness and accuracy
Solutions
Built scalable microservices architecture with Redis caching
Implemented geospatial indexing for efficient location queries
Optimized ML models using TensorFlow Lite for mobile deployment
Created automated data validation and update pipelines
Results & Impact
Many active users within 6 months of launch
5/5 rating on app stores
Average 35% savings on dining expenses for users
More work
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