AI Testing centre
What it does
It has may ai models It has web searching AI that makes searching in more 20 website and give information and give you the image and key points from summarised information It has AI Experiment lab to test the AI in different ways Web searching which summarise the information and give the key points within 1.5 sec
How we built it
- Automated Deployment (CI/CD) We deploy the application on Google Cloud Run and configure an automated workflow (CI/CD) linked to GitHub. Any code pushed to the main branch automatically triggers a build and deployment, enabling seamless and rapid updates.
- We built by using html and node js and mongodb
- Smart API Documentation Processing We directly feed the third-party AI API documentation to Gemini for parsing. It quickly produces a unified and focused internal interface document, significantly simplifying the integration work for developers. 4.Manual Refinement and Testing Developers take over the complex business logic development, interaction optimization, and code reviews based on the code generated by Gemini. We are responsible for rigorous testing and bug fixing to ensure the quality and robustness of the software. 5.AI-Assisted Planning and Design We input our initial product ideas into Gemini, which helps us quickly organize and output a core list of features, priorities, and draft layouts for application pages, laying a clear blueprint for the project.
Challenges we ran into
- The challenges are api issue and server issue
- Since AI API is a relatively new product, AI cannot effectively integrate with it directly. The AI API documentation needs to be provided to AI as context, which will then organize it into API documentation to properly implement the functionality. ## Accomplishments that we're proud of We solved them by gemini 2.5 pro The entire project was completed through full vibe coding, with all files and code created by AI. This validated the path from idea to implementation.
What we learned
We learned backend work of ai and techniques in Google AI Studio
What's next for AI studio
To create a physical AI which integrated with gen AI And interested in Quantum physics and Quantum Computer
Built With
- google-web-speech-api
- googlecse
- html
- mongodb
- node.js
- openrouterapi
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