An AI-driven career trajectory simulator transforming post-graduation paralysis into data-backed clarity using open-weight intelligence. Built for the Hacktoberfest Weekend Challenge.
Choosing a career trajectory in a shifting tech landscape often results in decision fatigue and anxiety. Traditional career advice is static, generic, and divorced from individual skillsets.
Pathwise operates as a dynamic "Future Me Simulator":
- Models Personal Scenarios: Ingests skills, current interests, and industry verticals to project 5-year outlooks.
- Evaluates Friction: Quantifies transition difficulty, industry volatility, and skill saturation.
- Outputs Actionable Steps: Translates ambiguous goals into concrete milestones and structured project roadmaps.
- 🔮 Future Me Simulator: Simulates dynamic career branches using structured prompt flows powered by Gemma-2.
- 🕸️ Visual Risk Radar: Visualizes market saturation, technological disruption risk, and educational barriers.
- 🗺️ 5-Year Actionable Roadmap: Breaks down long-term aspirations into quarterly skill sprints and verifiable portfolio milestones.
- 🍱 Bento-Grid Dashboard: High-density, modular UI built cleanly on Streamlit.
| Layer | Technology | Purpose |
|---|---|---|
| Frontend | Streamlit | Responsive Bento dashboard & interactive inputs |
| AI Model | Google Gemma-2-9b-it | High-reasoning open-weight language model |
| API Provider | Hugging Face Serverless API | Low-latency inference pipeline |
| Validation | Pydantic / Python | Strict output validation & error handling |
| Hosting | Render Web Services | Cloud production container running 24/7 |
User Input (Streamlit UI)
──> Pydantic Schema Validation
──> Prompt Engine
──> Hugging Face Inference API (Gemma-2-9b-it)
──> Structured JSON Parsing
──> Bento Dashboard & Radar Visualizer