Inspiration
Learning complex topics can be overwhelming without proper guidance. We wanted to create an interactive AI study companion that helps students and professionals instantly understand code, images, and text using modern AI models.
What it does
The AI Study Buddy allows users to upload text or images, ask questions, and get instant, context-aware answers. It provides grammar checks, explanations, and visual analysis through an intuitive web interface powered by Google Cloud Run and Gemini models.
How we built it
We built the frontend using HTML, CSS, and JavaScript with a lightweight Flask backend hosted on Google Cloud Run. User data and media files are stored securely in Cloud Storage Buckets. The app integrates Gemini AI APIs for natural language understanding and image reasoning.
Challenges we ran into
We faced issues in API integration, managing asynchronous responses, and optimizing Cloud Run deployments. Configuring secure storage and ensuring fast responses was also challenging.
Accomplishments that we're proud of
Deploying a fully functional AI web app on Cloud Run and enabling real-time text–image interaction with minimal latency.
What we learned
We learned how to efficiently connect AI APIs to cloud infrastructure, deploy scalable apps, and use Google Cloud’s ecosystem to enhance performance and accessibility.
What's next for ai-interactive-dashboard
We plan to add voice-based input and more features.
Built With
- css
- flask
- google-cloud
- google-cloud-run
- html
- javascript

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