CASE STUDY

FixitByAI

Mobile App • AI Solution

Project Overview

AI-powered mobile application for diagnosing device issues and providing personalized repair guidance.

Context & Challenge

Device malfunctions cause frustration and often lead to unnecessary professional repairs or replacements. Users lack the knowledge to diagnose issues and perform simple fixes themselves.

Client Objectives

• Enable accurate device issue diagnosis through AI
• Provide step-by-step repair guides for common problems
• Reduce unnecessary repair shop visits and e-waste
• Build a knowledge base of device issues and solutions

UX Research & Architecture

User testing revealed the importance of clear, jargon-free instructions with visual aids. We designed a conversational interface that feels like consulting an expert friend rather than reading a technical manual.

UI Design & Design System

Friendly, approachable interface with clear visual hierarchy. Step-by-step guides feature illustrations and progress indicators. Dark mode for comfortable use and battery efficiency.

Development & Technologies

Flutter frontend communicates with Python/FastAPI backend. TensorFlow models handle image-based diagnosis. OpenAI GPT powers the conversational troubleshooting assistant. Firebase provides authentication and analytics.

Tech Stack: Flutter, Python, TensorFlow, FastAPI, Computer Vision, OpenAI GPT, Firebase

Results & Business Value

• High accuracy in common device issue diagnosis
• User-friendly repair guides with visual instructions
• Reduced repair costs for users
• Growing database of device issues and solutions