Description
An Expo/React Native AR mobile app that overlays historical context on landmarks by analyzing photos and location data using OpenAI GPT-4 Vision and Groq Mixtral-8x7b via a Python Flask backend.
Project Overview
The project is a cross-platform (iOS/Android) AR mobile application built with Expo & React Native. It uses expo-camera, expo-location, and animated components. The backend is a Python Flask API that uses OpenAI's GPT-4-turbo with Vision and Groq's Mixtral-8x7b model. Users take a photo of a landmark with an associated time period (e.g., '1500 AD'), and the API generates a historical context and title by combining the image, location data, and LLM output. Authentication is handled with JWTs, and posts are stored in a SQLite DB (via Flask-SQLAlchemy). Deployed on GoDaddy for the website TimeFrame.Study.