DevIntellect is a cloud-native AI system designed to evaluate a developer’s technical depth and cognitive problem-solving patterns to generate personalized career-path recommendations.
The platform integrates backend intelligence modeling, cognitive assessment, and interactive analytics visualization into a scalable full-stack architecture.
- AI-driven Technical Depth Analysis
- Cognitive Problem-Solving Pattern Evaluation
- Personalized Career Path Recommendation Engine
- RESTful FastAPI Backend Architecture
- SQLAlchemy-Based Persistent User Analytics
- Interactive Radar Visualization Dashboard
- Dockerized Deployment with CI/CD Integration
- Cloud Deployment (Render)
Frontend:
- React.js
- Chart.js (Radar Visualization)
Backend:
- FastAPI
- SQLAlchemy ORM
- REST APIs
Intelligence Layer:
- Technical Score Computation Engine
- Cognitive Profile Vector Generator
- Rule-Based Career Recommendation Engine
Deployment:
- Docker
- CI/CD Pipeline
- Cloud Hosting (Render)
- User submits technical metrics (languages, repo activity, complexity indicators).
- User completes cognitive assessment inputs.
- Backend computes:
- Technical Depth Score
- Cognitive Profile Vector
- Intelligence Engine maps results to structured career recommendations.
- Results are visualized via radar dashboard and stored in database.
- Technical Score: 82/100
- Analytical Strength: 7.5
- Architectural Thinking: 8.5
- Recommended Career Path: AI/ML Engineer
- Python
- FastAPI
- React
- SQLAlchemy
- Docker
- REST APIs
- Chart.js
- CI/CD
- Cloud Deployment (Render)
Many students build projects without understanding their real strengths and cognitive patterns. DevIntellect bridges this gap by combining technical analytics and cognitive modeling into a structured intelligence system.
- GitHub API Auto-Integration
- LLM-Based Cognitive Evaluation
- Vector Embedding Skill Mapping
- Multi-Agent Career Advisor Framework
- Market Demand Alignment Engine
Namitha R