LostNFound AI
A revolutionary mobile app that uses AI to help people find their lost items.
The Challenge
Traditional lost and found systems are inefficient and have a low success rate for reuniting people with their lost items. The challenge was to create a modern, AI-powered platform that would significantly increase the chances of recovering lost items by connecting people directly.
Key Results
Increase in item recovery rate compared to traditional systems
From concept to MVP launch
User satisfaction rating
Our Solution
We developed a comprehensive mobile platform that leverages cutting-edge AI image recognition technology to help users find their lost items. The app allows users to:
- Quickly report lost or found items with detailed descriptions
- Use AI image recognition to match lost items with found items
- Receive real-time notifications for potential matches
- Securely communicate with others through the in-app messaging system
- Use geolocation to find items lost in their vicinity
Technology Stack
Frontend
- Expo
- TypeScript
- Expo Router
- Sqlite DB
Backend
- Node.js
- Express.js
- MongoDB
- EC2/Fargate
AI & ML
- OpenAI API
- OpenAI Vision API
- Custom ML Models
Infrastructure
- AWS S3
- AWS Lambda
- AWS CloudFront
- CI/CD Pipeline
Our Development Process
Discovery & Planning
We began with extensive research along side the team at LostNFound AI into existing lost and found systems to identify pain points and opportunities for innovation.
We began with extensive research along side the team at LostNFound AI into existing lost and found systems to identify pain points and opportunities for innovation.
UI/UX Design
We designed the user interface and experience, focusing on simplicity and effectiveness. Wireframes and prototypes were created and tested with potential users.
AI Model Development/Utilization
We identified the best AI models and APIs to use for the project and developed custom models for the project. We also utilized the OpenAI Vision API to power the image recognition feature.
We developed and trained custom AI models to accurately recognize and categorize various types of items from user-submitted photos.
Development
We implemented the frontend and backend systems, integrating the AI models and ensuring seamless communication between all components.
Testing & Refinement
We conducted rigorous testing of the application, addressing any issues and refining the user experience based on feedback.
We conducted rigorous testing of the application, addressing any issues and refining the user experience based on feedback.
Launch & Iteration
We successfully launched the MVP and began collecting user feedback to inform future development iterations.
Ready to start your own project?
Let's discuss how we can help you build a product that solves real problems and delivers exceptional results.