CalorieCouch

Overview

CalorieCouch is an AI-powered nutrition coaching and tracking application designed to help users monitor their dietary intake and receive personalized nutritional guidance through a conversational AI interface.

Objectives

• ▸ Provide conversational AI interface for nutrition coaching
• ▸ Enable natural language food logging
• ▸ Deliver personalized nutritional advice based on user's goals
• ▸ Track daily nutrition goals with progress monitoring
• ▸ Support voice interaction for hands-free use

Architecture

Full-stack application with Next.js 15 frontend, Express.js backend with WebSocket real-time communication, LangChain AI framework with OpenAI GPT-3.5-turbo, PostgreSQL database with Sequelize ORM, Redis caching layer, and Docker containerization.

Key Features

• ▸ Real-time chat with AI nutrition coach using LangChain memory
• ▸ Natural language food logging with NutritionIX API integration
• ▸ Daily nutrition goal tracking with visual progress indicators
• ▸ Speech-to-text and text-to-speech for hands-free operation
• ▸ File upload support for nutritional analysis
• ▸ WebSocket communication for instant message delivery
• ▸ Google OAuth 2.0 authentication

Challenges

• ▸ Implementing context-aware AI conversations with memory retention across sessions
• ▸ Accurate nutritional data parsing from natural language descriptions
• ▸ Real-time WebSocket communication with session persistence
• ▸ Optimizing API costs through intelligent Redis caching

Outcomes

• ▸ Successfully built a production-ready AI nutrition coaching platform
• ▸ Achieved real-time conversational AI with context retention
• ▸ Integrated multiple external APIs for comprehensive nutritional data