Inspiration
As a student and tech enthusiast, I realized how overwhelming it can be to navigate the job market, upskill efficiently, or find personalized career guidance. I wanted to create a tool that makes career growth simple, intelligent, and accessible — and that's how SkillBloom AI was born.
What it does
SkillBloom AI is an AI-powered career guidance suite with 6 powerful modules:
- Skill Enhancer – Turn your interests into career suggestions and get free learning resources. 2.AI Job Board – Upload your resume and get relevant job roles with salary, location, and fit.
- Career Gap Filler AI – Fill in your skill or experience gaps with customized suggestions.
- Resume Analyzer + ATS Score Checker – Get feedback and ATS score for your uploaded resume.
- Your Mentor Dashboard – Talk to an AI mentor named Alex Rivera who gives personalized advice.
- Career Suggestion - It gives career suggestion by using your skill,experience.
How I built it
- Frontend: Streamlit
- AI Logic: Google's Agent Development Kit (ADK)
- Language: Python
- Model: Gemini 1.5 Flash via
google.generativeai - Deployment: Streamlit Cloud
- Version Control: GitHub
What I learned
- How to build modular agents with ADK
- Prompt engineering to reduce hallucinations and improve relevance
- Dynamic UI with Streamlit and real-time AI interaction
- Deploying securely and managing
.envsecrets in production
Challenges
- Ensuring free API usage without exposing keys or hitting rate limits
- Keeping context between AI questions and feedback per module
- Balancing realism and motivation in job suggestions and feedback
What's next?
- Voice interaction and accessibility enhancements
- More diverse job boards from open APIs
- User login + save progress
Built With
- adk
- cloud
- python
- streamlit
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