Hackathon: FantomCode 2025
Date: 12/04/2025
AppGenesis AI is an innovative, AI-driven platform designed to automate the creation of full-stack applications. By generating native frontend and backend code based on user input, it simplifies the app development process for developers, startups, and businesses. Key features include:
- Elimination of Complexity: Removes the need to manually integrate frameworks or write repetitive boilerplate code.
- Time Efficiency: Significantly reduces development time through automation.
- Enhanced Code Quality: Utilizes modular AI agents and automated testing.
- Accessibility: Empowers users of all expertise levels to transform app ideas into production-ready software effortlessly.
Modern app development faces several hurdles:
- Fragmented Codebases: Developers juggle multiple languages and frameworks, often leading to inconsistent code quality.
- High Development Costs & Time: Manual integration, debugging, and cross-platform testing slow down time-to-market.
- Limited Customization: Existing tools often require steep learning curves or fail to offer fully customizable, production-ready solutions.
- Market Gaps: Platforms like lovable.dev and Bolt AI exist but are limited by rigid codebases or incomplete end-to-end automation.
AppGenesis AI addresses these challenges with:
- End-to-End Generation: Delivers production-ready applications with frontend code in Kotlin, Swift, or Flutter, paired with a robust backend.
- Intelligent Code Synthesis: AI agents analyze user requirements to produce scalable, modular, and maintainable code.
- User-Friendly Interface: Input your app vision, and watch it come to life.
- Adaptive & Customizable: Continuously improves code quality and functionality based on user feedback.
Here’s the technology powering AppGenesis AI:
- Frontend:
- React (with Next.js)
- JavaScript
- Backend:
- Next.js
- TypeScript
- APIs:
- REST API: Enables backend communication
- LangFlow API: Integrates AI workflows
- NextRequest: Manages server-side requests
- Tools:
- LangFlow: Orchestrates AI workflows
- Cursor: Boosts code editing efficiency
- infinityfree.com: Provides hosting services
- Bolt.diy: Facilitates rapid prototyping
AppGenesis AI is built on a modular architecture for scalability, maintainability, and seamless code generation. Key components include:
- User Interface:
A React-based frontend (powered by Next.js) where users input app ideas and select frontend languages (Kotlin, Swift, or Flutter). - Backend Server:
Built with Next.js and TypeScript, it processes user requests and communicates with the AI layer. - AI Processing Layer:
Leverages LangFlow to orchestrate AI agents that interpret user input and generate code. - Code Generation Modules:
Dedicated components produce frontend code (in the chosen language) and backend code. - Integration & Testing:
Automatically integrates and tests the generated code for functionality. - Output Delivery:
Presents the final code to the user through the web interface.
To run AppGenesis AI, ensure the following are installed:
- Languages:
- Kotlin (for Android frontend)
- Swift (for iOS frontend)
- Dart (for Flutter frontend)
- API Keys:
Obtain keys for open-source LLM services (e.g., Hugging Face or similar). - Git:
Required for cloning the repository. - Dependencies:
Listed in:package.json(for Node.js)requirements.txt(for Python, if applicable)
- Abhishek Kumar Choudhary
- Aditya Kumar
- M Pranav
- Rishabh Singh