GreeTech Career Study - AI Powered Green Career Platform

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  This is the Home Page of GreeTech Career Study AI designed with 3 modules

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  When Student Chooses Career ready,it ask student to choose the interested career and skills known .

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  When Students select the appropriate options then it displays skills to learn and ask what the student want to learn now.

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  when student chooses language, and quiz starts .

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  then when student completes all levels , a congrtas message is displayed

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  When student chooses job ready option,it displays 2 modules

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  When Student selects interview preparation,it gives a roadmap

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  When student selects mock test preparation, it displays which mock test to attempts and where to attempt

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  When student selects Green AI Dashboard it displays Energy Comparision.

Inspiration : The inspiration behind GreeTech Career Study came from observing how many students struggle to choose the right career path due to lack of proper guidance, exposure, and real-world skill direction. At the same time, the world is moving toward AI, automation, and green/sustainable industries. I wanted to create a platform that not only guides students toward the right career but also prepares them for future-ready and environmentally conscious opportunities.

What It Does : GreeTech Career Study is an AI-powered career guidance and learning platform that: -Provides career direction based on interests. -Offers structured learning pathways. -Includes interactive learning modules (quiz/game mode). -Connects learning with job-oriented skills. -Encourages green and sustainable career awareness. The platform makes career planning simple, interactive, and practical instead of confusing and overwhelming.

How I Built It : I built this project using: -Python. -Streamlit for frontend and deployment. -AI-based logic for career and learning guidance. -GitHub for version control. -Streamlit Cloud for deployment.

Challenges I Ran Into : -Managing multiple modules in one structured app. -Handling session state correctly in Streamlit. -Deployment issues and branch configuration. -Ensuring the app runs without errors. -Designing a clean and professional UI. Each challenge helped me understand real-world development workflows better.

Accomplishments I Am Proud Of : -Successfully deploying a live AI-powered application. -Creating a structured multi-module learning system. -Integrating career guidance with interactive quiz mode. -Completing the full development-to-deployment process independently. -Turning an idea into a working product under hackathon pressure.

What I Learned :

-How to structure scalable Streamlit applications. -How GitHub repositories and deployment pipelines work. -Importance of clean code organization. -Problem-solving under time pressure. -How AI can be integrated into education platforms.

What’s Next for GreeTech Career Study :

Future plans include: -More advanced AI-based career recommendation engine. -Personalized dashboards for users. -Integration of real-time job APIs. -Dedicated green career learning tracks. The long-term goal is to make GreeTech Career Study a complete AI-powered career ecosystem for students worldwide.

Built With

• python
• streamlit