A career guidance system leveraging AI and research by 80000 Hours to help people find a fulfilling career that does good.
This system is expected to help anybody follow a step-by-step process from scratch to craft and review their own long-term career plan. It does so by combining user input, exercises based on the 80000 Hours free career guide, research findings, and agent orchestration to maximize insight.
NOTE: This project is currently on an early stage!
- Migrating local models (ollama) to GitHub models or similar alternatives
- Creating confidence metrics for the LLMs
- Converting the guidance from the 80000H guide into code
PydanticAI, Streamlit, Pandas, Ollama (for the local LLM)
1. Create a venv and install the requirements
2. Execute the demo with: streamlit run streamlit_app.py
✅ Computing the fit of an individual with selected pressing problems based on their career background.
- Implement other key functionalities with agent orchestration
- Create a local database/class to store the user information
- Implement a full multipage frontend
- Link the different exercises with eachother to enable a complete assistant