Projects

🎓 About This Course

Mastering GenAI for Students is a quick-start guide designed to help high school students unlock the power of generative AI tools like ChatGPT, Claude, and Gemini — not just to get answers, but to learn smarter.

In this hands-on, beginner-friendly course, students will learn how to write effective prompts, brainstorm essay ideas, summarize textbook chapters, create flashcards, and organize projects — all with the help of AI. It also covers critical topics like AI bias, hallucination, and academic integrity to ensure responsible and ethical use.

This course was built by a student, for students — with clear examples, practical use cases, and interactive demos. Whether you're preparing for a big paper or just curious about how AI can support your learning, this course gives you the tools to use AI thoughtfully, creatively, and confidently.

✅ What You’ll Learn What GenAI is and how it works

How to write clear prompts using the CRAFT method

How to apply GenAI in real schoolwork (essays, studying, organization)

How to spot and handle bias, errors, and over-reliance

How to use AI tools responsibly and cite them correctly

The Air Quality & Weather Monitor is a dynamic web application that empowers users to track air quality and weather conditions in real-time. By harnessing various environmental APIs, the app delivers data on air pollutants, temperature, humidity, and other factors that influence outdoor activities. Designed for scalability, the system is poised for future enhancements to monitor additional environmental factors.

Key Technical Features:

• Real-Time API Integration: Utilizing the Google API, the app provides live updates on air quality, ensuring users receive the most current information.
• Cross-Platform React Native App: The app is fully responsive, offering an optimal experience across mobile and tablet devices.
• AI/ML-Driven Predictions: The app uses machine learning algorithms to predict air quality based on users' location history. It remembers previously visited locations and provides air quality data for predicted locations, enhancing user experience by offering personalized insights.

Technologies Used:

• Frontend: React.js, Expo, Tailwind CSS, Chart.js
• APIs: Google Maps API, Google Air Quality API, Google Pollen API

This intuitive app simplifies the process of calculating the number of solar panels needed to power your home. By leveraging the Google Maps API for location data and the Solar API for energy calculations, it provides precise recommendations on solar panel requirements and potential energy production.

Technologies Used:

• Frontend: React.js, Expo, Tailwind CSS, Chart.js
• APIs: Google Maps API, Google Solar API

Why It Matters: This tool demystifies solar energy, making it more accessible by simplifying the complex calculations involved in solar panel installation. It encourages homeowners to explore renewable energy options, reduce electricity bills, and contribute to lowering global carbon emissions.

Contributed to the development of Faroverse's customer-facing products using React, Next.js, and Tailwind CSS. Also assisted in manual testing of the products.

Enhanced Faroverse.ai's product features to cater to Japanese clients' needs. Primarily utilized React, Next.js, and Tailwind CSS for development and collaborated with the backend team to integrate new features seamlessly.

Recognizing the growing importance of generative AI, I took the initiative to complete the "Introduction to Generative AI" learning path offered by Google Cloud Skills Boost. This self-paced online course, which included hands-on labs and covered topics such as large language models, responsible AI, and prompt design, deepened my understanding of this transformative technology. I'm particularly interested in Prompt Engineering, using LLM to solve problems and I'm eager to continue learning and exploring the ethical implications and potential applications of generative AI in college..