Gemini is a Data Science Agent integrated with Google Colab that simplifies data analysis by automatically generating complete, functioning notebooks from natural language descriptions.
Features
Data Science Agent
Automates the creation of complete, executable Colab notebooks from natural language descriptions, eliminating tedious setup tasks like importing libraries and loading data.
Modifiable Solutions
Allows users to easily customize and extend generated code to fit specific data analysis needs.
Sharable Results
Enables collaboration with teammates using standard Colab sharing features, facilitating easy sharing of analysis and insights.
Image Generation
Offers state-of-the-art image generation with capabilities for creating brighter, better-composed images in diverse styles using text prompts.
Code Execution
Allows the AI model to generate and run Python code for tasks like solving equations, data analysis, and creating visualizations.
Photo-based calorie tracking
Users can take a photo of their meal, and CalCam analyzes the image to identify food items, break down ingredients, estimate dish weight, and calculate macronutrient distribution through the Gemini API.
Multimodal Interactions
Allows users to engage in real-time interactions across different modalities such as text, image, and sound.
Agentic AI
Allows AI to make autonomous decisions using external tools to extend its knowledge and functionality beyond pre-existing data, without direct input from users.