MVP Development for AI Debugging Tool
Budget: ₹1,500 – ₹12,500 INR
I'm seeking an experienced developer/ team to create a mobile app with core debugging features targeting app & web developers, coding students, small dev teams, and freelancers.
Key Features:
- AI Debug Assistant: Users can paste their code and receive error analysis and fix suggestions powered by OpenAI.
- Log Analyzer: This tool will format and analyze application logs for quicker problem identification.
- Bug History Tracker: Save past bugs and solutions for future reference.
- Bug Export/Share: Users can export logs or share bug reports in PDF format or via Firebase.
- Dark Mode + Clean UI: The interface should be simple, modern, and easy on the eyes during prolonged usage.
Monetization:
The app should follow a freemium model, with a basic free version and a comprehensive pro version. Pricing will be monthly, yearly, and a competitive lifetime launch offer.
Tech Stack:
- Mobile App: Developed using Android Studio with Kotlin.
- AI Integration: Primarily through OpenAI, but open to suggestions for locally hosted models.
- Backend: Firebase for authentication, storage, and Firestore.
- Payment: Integration with Razorpay or Stripe.
- Website: For marketing, documentation, and a web-based dashboard.
Ideal Candidates:
- Proficient in Kotlin and Android Studio.
- Experience with AI integration, preferably OpenAI.
- Familiar with Firebase and payment gateway integration.
- Understanding of Material Design principles.
- Ability to design user-friendly interfaces.
Key Features:
- AI Debug Assistant: Users can paste their code and receive error analysis and fix suggestions powered by OpenAI.
- Log Analyzer: This tool will format and analyze application logs for quicker problem identification.
- Bug History Tracker: Save past bugs and solutions for future reference.
- Bug Export/Share: Users can export logs or share bug reports in PDF format or via Firebase.
- Dark Mode + Clean UI: The interface should be simple, modern, and easy on the eyes during prolonged usage.
Monetization:
The app should follow a freemium model, with a basic free version and a comprehensive pro version. Pricing will be monthly, yearly, and a competitive lifetime launch offer.
Tech Stack:
- Mobile App: Developed using Android Studio with Kotlin.
- AI Integration: Primarily through OpenAI, but open to suggestions for locally hosted models.
- Backend: Firebase for authentication, storage, and Firestore.
- Payment: Integration with Razorpay or Stripe.
- Website: For marketing, documentation, and a web-based dashboard.
Ideal Candidates:
- Proficient in Kotlin and Android Studio.
- Experience with AI integration, preferably OpenAI.
- Familiar with Firebase and payment gateway integration.
- Understanding of Material Design principles.
- Ability to design user-friendly interfaces.