Inspiration
Students often know what career they want, but they don't always know which skills they are missing or what they should learn next. We were inspired to build SkillTrack AI to help students understand their competency gaps and get a clearer, more personalized direction for learning.
What it does
SkillTrack AI is an AI-powered learning platform that analyzes a student's skills and identifies competency gaps. It provides personalized learning recommendations and can analyze learning materials to support quiz/MCQ generation.
The platform aims to turn a student's current skills into a clear and actionable learning path.
How we built it
We built SkillTrack AI as a web-based application with a frontend and backend architecture.
- Frontend: HTML, CSS, JavaScript
- Backend: Python and FastAPI
- AI: AI-based skill analysis and recommendation logic
- Database: Used for storing and managing application data
- Core workflow: Skill input → Competency analysis → Skill-gap identification → Personalized learning recommendations
We focused on creating a functional prototype that demonstrates how AI can support personalized education.
Challenges we ran into
One of our biggest challenges was converting the broad concept of personalized learning into a practical and understandable workflow.
We also faced challenges while connecting the frontend and backend, handling user inputs, integrating AI-based analysis, and presenting the results clearly to users.
Another challenge was making the recommendations focused on actual skill gaps instead of providing generic learning suggestions.
Accomplishments that we're proud of
We are proud of turning our idea into a working prototype with a complete user flow.
SkillTrack AI can take a user's selected skills, analyze them, identify areas that need improvement, and present the results in an understandable way.
We are also proud of creating a solution focused on Equity in Education, where students can receive personalized guidance without depending entirely on one-to-one mentoring.
What we learned
Through this project, we learned how to combine AI, frontend development, backend APIs, data handling, and user-focused design into one application.
We also learned that adding AI alone does not solve an education problem. The AI output needs to be relevant, understandable, and actionable for the learner.
What's next for SkillTrack AI
Our next goal is to make SkillTrack AI more personalized and intelligent.
We plan to add:
- Resume-based automatic skill extraction
- More accurate competency-gap analysis
- Personalized learning roadmaps
- AI-generated quizzes from uploaded learning materials
- Progress tracking and skill improvement analytics
- Integration with learning platforms and educational resources
- More advanced career-oriented recommendations
Our long-term vision is to help students continuously identify, develop, and track the skills they need for their future careers.
Built With
- ai
- analysis
- career
- css
- data
- development
- education
- fastapi
- gap
- html
- javascript
- language
- learning
- natural
- personalized
- python
- rest
- skill
- technology