REPAIR ME

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  service request

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  choose your role customer or repairman

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  user details

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  VERIFY THROUGH LOGIN FOR BOTH USERS

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  CALL AN EXPERT OR USE AI CAMERA FOR DIY

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  PROBLEM INFORMATION ALOND WITH WHAT CUSTOMER OPT(DIY withoutor with goods, REPAIR EXPERT with or without goods)

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  THE BILLING SYSTEM

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  RATINGS AND PRICE OF EXPERTS

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  BOOKING CONFERM, ADRESS USED FROM LOGIN TIME

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  EXPERT LOGIN INFO ALONG WITH FEES SELECTIVE PART

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  EXPERT UI WITH ANY ORDER ON APP OR WAREHOUSE GOODS LIST AND A PRO TIP IN DOWN

Inspiration

Home repair problems are common, but diagnosing them correctly is difficult, time-consuming, and often unsafe without expert knowledge. We were inspired by how AI can “see and understand” problems from images, and wanted to build a system that makes home repairs faster, safer, and smarter for everyone.

What it does

REPAIR ME is an AI-powered home repair assistant. Users can upload photos or videos of a faulty appliance or household issue. The system analyzes the input, identifies the problem, suggests safety-first DIY solutions, or connects the user to verified professional technicians with transparent pricing and booking.

How we built it

We built REPAIR ME using modern AI tools and cloud-based technologies. The core system uses multimodal AI to analyze visual inputs and generate contextual repair guidance. The frontend focuses on a simple, simulator-style walkthrough experience, while the backend handles AI processing, logic flow, and service recommendations.

Challenges we ran into

Handling accurate diagnosis from images and videos

Managing large files and AI response times

Designing safety-aware repair guidance

Keeping the system lightweight and hackathon-ready

Integrating AI smoothly within limited development time

Accomplishments that we're proud of

Built a working AI-based repair diagnosis concept

Designed a futuristic, user-friendly interface

Implemented safety-first decision logic

Created a scalable idea with real-world impact

Successfully collaborated as a team under tight deadlines

What we learned

We learned how to work with multimodal AI, manage cloud-based development, handle real-world problem constraints, and design user experiences that prioritize safety. This project also strengthened our teamwork, planning, and rapid prototyping skills.

What's next for REPAIR ME

Future plans include real-time technician integration, regional service support, multilingual AI assistance, deeper fault detection, and deployment as a full-scale mobile application for everyday users. AND I HOPE AND DO WORK FOR IT THAT ONE DAY IT WILL BE LAUNCHED AND HELP OTHERS COZ THE FUTURE WILL BE "AI ERA" SO IT WILL DEFINATELY BLOOM.

Built With

• browser-web-api
• css
• esm
• gemeni-3
• google-font
• google-gemeni
• react
• typescript