About the Project
Stock4Me is an innovative mobile application that leverages artificial intelligence to help users efficiently manage their inventory, storage, collections, and more. The application allows users to interact through voice commands or video input to register and manage stored items, utilizing AI to recognize objects, categorize them, and provide smart organization recommendations.
Stock4Me Mobile Application Interface
Key Features
AI-Powered Item Recognition
Implemented computer vision algorithms that automatically identify and categorize items through the device camera, reducing manual data entry and improving accuracy of inventory records.
Voice Command System
Developed a natural language processing system that allows users to control the application and add new items through voice commands, making the app accessible while handling physical items.
Smart Organization
Created an intelligent organization system that suggests optimal storage locations based on frequency of use, related items, and available space, helping users maximize their storage efficiency.
Cross-Platform Synchronization
Implemented secure cloud synchronization to allow users to access their inventory data across multiple devices, with real-time updates and offline functionality for consistent user experience.
Technical Implementation
Technology Stack
- React Native
- AWS Lambda
- AWS Cognito
- AWS IAM
- Prisma ORM
- PostgreSQL
- TensorFlow
- GraphQL
Architecture Overview
Stock4Me was built with a modern microservices architecture to ensure scalability and maintainability:
- Frontend: React Native application with offline-first capabilities and responsive design for both iOS and Android platforms
- Backend: Serverless architecture using AWS Lambda functions to handle business logic and data processing
- Authentication: Secure user authentication and authorization through AWS Cognito with multi-factor authentication support
- Database: PostgreSQL database managed through Prisma ORM for type-safe database access and migrations
- AI Services: TensorFlow models for image recognition and natural language processing, deployed on AWS infrastructure
- API: GraphQL API layer for efficient data retrieval and updates, reducing network overhead and improving response times
Skills Developed
This project significantly enhanced my technical skills and knowledge in several key areas:
- Mobile Development: Deepened my understanding of React Native and cross-platform mobile application development
- Cloud Architecture: Gained hands-on experience with AWS services and serverless architecture patterns
- AI Integration: Learned how to integrate and optimize AI models for mobile applications with limited resources
- Database Design: Improved skills in designing efficient database schemas for complex relational data with Prisma
- User Experience Design: Developed an intuitive interface that simplifies complex inventory management tasks
- Security Implementation: Implemented robust security practices for protecting sensitive user data and inventory information
Impact and Business Value
Stock4Me addresses a common pain point for individuals and small businesses struggling with efficient inventory management. The application streamlines the process of cataloging, organizing, and locating items, saving users significant time and reducing stress associated with disorganized storage.
Early user testing has shown that Stock4Me can reduce the time spent searching for items by up to 70% compared to traditional methods, and improved organization has helped users maximize their existing storage space, potentially saving on additional storage costs.