TroubleShot revolutionizes DIY troubleshooting by leveraging advanced image analysis and AI to provide step-by-step instructions and tool recommendations. Users simply upload images of their problems and receive tailored, actionable solutions powered by OpenAI's GPT-4 vision capabilities.
Purpose: Democratizing DIY problem-solving through AI-powered visual analysis and multilingual support
🎥 Platform Demonstration
Watch the comprehensive demo showcasing TroubleShot's AI-powered troubleshooting capabilities:
🚀 Project Overview
This AI-powered troubleshooting platform combines advanced computer vision with natural language processing to create an intelligent DIY assistance system. Built with OpenAI's GPT-4 vision model and multilingual support, it provides users with comprehensive problem analysis and step-by-step solutions through simple image uploads.
💡Key Innovation: Computer vision-powered problem diagnosis with AI-generated solutions and multilingual accessibility for global users
GPT-4 vision model analyzes problem images and generates detailed diagnostic reports with accurate problem identification and solution recommendations.
🌍 Multilingual Support
Full localization in English, French, and Estonian using i18next framework for global accessibility and user engagement.
📱 Camera Integration
Native camera access through MediaDevices API for direct image capture, enabling seamless problem documentation and analysis.
💳 Payment Processing
Stripe integration for premium detailed analysis reports with secure transaction processing and subscription management.
🎯 DIY Applications
🔨Home Repairs: Identify and solve common household problems with step-by-step guidance
🚗Automotive Issues: Diagnose car problems and receive maintenance recommendations
⚡Electrical Troubleshooting: Safe electrical problem identification and solution guidance
🌿Garden & Landscaping: Plant disease identification and gardening problem solutions
🖥️Technology Problems: Hardware and software issue diagnosis and repair instructions
🛠️ Implementation Details
Frontend Architecture
Core Technologies: HTML5, CSS3, and JavaScript with responsive design principles
Internationalization: i18next library for dynamic content translation and localization
Camera API: MediaDevices API integration for real-time image capture functionality
User Interface: Interactive tool selection and step-by-step instruction display
Backend Development
Server Framework: Node.js with Express.js for robust API endpoints
AI Integration: OpenAI GPT-4 vision model for advanced image analysis and report generation
File Management: Secure image upload, storage, and processing pipeline
Payment Gateway: Stripe API integration for secure transaction processing
System Architecture
Image Processing: Automated image optimization and format validation
Data Management: Temporary file storage with automated cleanup routines
Error Handling: Comprehensive error management across all processing steps
Performance: Cron job scheduling for optimal storage and performance management
📈 Technical Highlights
AI Integration Excellence
Vision Processing: Advanced GPT-4 vision analysis for accurate problem identification