This is a comprehensive startup ideation and analysis application that transforms basic project concepts into detailed technical blueprints. When users input a project idea, the platform provides:
- Suggested purposes and use cases
- Potential features and functionality
- Recommended technology stacks and frameworks
- Success probability prediction using sentiment analysis
- Implementation roadmap and steps
- Technical stack recommendations with rationale
- AI-generated wireframes/mockups
- Interactive component visualization
This application essentially serves as a startup idea forumlator, helping developers validate and structure their ideas while providing actionable insights and visual representations to kickstart development. It bridges the gap between initial concept and technical implementation by offering data-driven recommendations and visual prototypes.
- Request access to Meta's LLaMA models: https://www.llama.com/
- Create a Hugging Face account: https://huggingface.co/join
- Get your Hugging Face access token: https://huggingface.co/settings/tokens
Clone the project
git clone https://github.com/d4julian/mlh-2025.git
Go to the project directory
cd mlh-2025
Install dependencies
cd mlh-2025/web
npm install
cd mlh-2025/backend
pip install -r ./requirements.txt
Start React server
cd mlh-2025/web
npm run dev
Start Python server
cd mlh-2025/backend
uvicorn api:app
Client: React, TailwindCSS
Server: Python, FastAPI
AI Models: LLaMA (Text Generation), Hugging Face Models (Image Generation), Custom Sentiment Analysis