ai-startup-coach

AI Startup Builder is a LangGraph-based assistant that turns student ideas into structured startup plans, validates them with real-time market insights, and generates a downloadable prototype, with multilingual support and persistent memory.

📌 Overview

This project is an AI-powered startup builder that assists students in turning their ideas into structured startup plans. It provides real-time market insights and generates a downloadable prototype. The system is multilingual and has persistent memory, allowing it to retain chat history in SQLite.

🚀 Features

• LangGraph-based assistant
• Turns student ideas into structured startup plans
• Validates startup plans with real-time market insights
• Generates downloadable prototypes
• Multilingual support
• Persistent memory for chat history in SQLite

🛠 Tech Stack

Category	Details
Runtime	Python
Language	Python

📦 Installation

git clone https://github.com/.../ai-startup-coach.git
cd ai-startup-coach
npm install

▶️ Usage

cd project
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cp ../.env.example .env
# fill keys in .env (optional)
python main.py

📁 Project Structure

.gitignore
README.md
__init__.py
app.py
graph
  __init__.py
  workflow.py
llm
  __init__.py
  mentor.py
  openai_client.py
  prototype.py
  structure.py
main.py
memory
  __init__.py
  sqlite_memory.py
project
  memory
    assistant.db
    l.sql
prompts
  init_questions.txt
  language_select.txt
  market_research.txt
  mentor_feedback.txt
  mentor_questions.txt
  prototype.txt
  reddit_research.txt
  structure_idea.txt
requirements.txt
tools
  __init__.py
  sarvam_speech_ws.py
  sarvam_translate.py
  tavily_tool.py
  test_sarvam_stt.py

This project is a Python application with a directory structure that includes folders for the application, graph, language model, memory, project, prompts, requirements, and tools.

🤝 Contributing

Contributions are welcome! Please open an issue or submit a pull request.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/your-feature)
3. Commit your changes (git commit -m 'Add your feature')
4. Push to the branch (git push origin feature/your-feature)
5. Open a pull request

📄 License

This project is licensed under the MIT License.

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FINAL CHECKLIST BEFORE OUTPUTTING: [ ] Tech Stack table — every row on its own line, none collapsed? [ ] File tree — inside a fenced code block, copied verbatim? [ ] No invented features or endpoints? [ ] No text outside the README document?