Finalist
akz
I got this idea when I wanted all my email analytics in one place but found no private solution.
Core trick
Runs a local Llama 3.2 model in the background while charging to extract purchase amounts from emails and group them into spending categories.
Description
I got this idea when I wanted all my email analytics in one place but found no private solution. Earlier attempts required sending data to third-party servers, which I didn’t want. With Edge AI, all NLP processing can now run securely on-device.
This prototype converts unstructured data like emails and messages into structured insights while keeping everything private. It includes Edge Chat (a developer kit for testing models), Emails Analyzer (extracts information like expenses using a local Llama 3.2 model), and Analytics (the only user-facing app showing categorized spending and trends).
Both Edge Chat and Emails Analyzer run silently in the background when the phone is charging. Future data connectors will let apps share data securely for local analysis. All processing happens fully on-device with no cloud or tracking, just private, intelligent insights.
README excerpt
# Edge AI Playground - React Native A modern React Native mobile application showcasing on-device AI capabilities with practical use cases including conversational AI, email analysis, and spending analytics. ## 🌟 Features ### 1. **Edge Chat** - Chat with an on-device AI model (Llama 3.2 1B) - Completely private - all processing happens locally - No internet connection required for inference - Lightweight and fast responses ### 2. **Email Analyzer** - Automatically extracts purchase amounts from emails using on-device AI - Batch processes multiple emails - Displays extracted purchase information with email details - Real-time progress tracking during analysis ### 3. **Analytics Dashboard** - Beautiful spending analytics with interactive charts - Multiple time filters: Today, Week, Month, Year - Visualizations include: - Pie charts for category distribution - Line charts for spending trends - Bar charts for top categories - Detailed transaction list with category breakdown - Mock data for demonstration purposes ## 🎨 Design - **Modern Light Mode UI**: Clean, professional design with a light color scheme - **Consistent Blue Accents**: Using #3B82F6 for interactive elements - **Card-Based Layout**: Subtle shadows and borders for depth - **Smooth Animations**: Polished user experience throughout ## 🛠️ Tech Stack - **Framework**: React Native (0.81.4) with Expo (~54.0.13) - **Language**: TypeScript (5.9.2) - **AI/ML**: react-native-executorch (0.5.12) for on-devi