Frustration Fixer

Hear is the link of the my project
(https://ai.studio/apps/drive/1yyxi3kie1ksfRwckX_bfMYGPYKpqejng)

What I Built
This is an AI-powered project that uses a cartoon character to provide a humorous, absurd, and animated response to user frustrations. The core purpose is to provide a brief, comical escape from daily annoyances and turn negative emotions into a source of laughter.

Here is my project Demo link
(https://drive.google.com/file/d/1qIkNk-OEZ7b53mFLG4-FF1Ho8VY0UZLw/view?usp=sharing)

How I Used Google AI Studio
To create this project, I used Google AI Studio to define the core logic for the "Frustration Fixer" app. Instead of generating a standard text response, I crafted a custom prompt that instructs the Gemini model to produce a structured JSON object.
This structured output is key to the app's functionality. It specifies a character type (like Motu or Dr. Jhatka), a specific expression, and a short, humorous dialogue in Hindi. This approach leverages the model's creative capabilities to not only generate funny content but also to deliver it in a specific, machine-readable format.
The app then uses this JSON data to trigger multimodal capabilities. It uses a Text-to-Speech (TTS) engine to speak the dialogue out loud, while simultaneously animating the corresponding cartoon character with the right facial and body expressions, creating a fully interactive and entertaining experience for the user.

Multimodal Features
The project is built around multimodal functionality to provide a unique and engaging user experience. Instead of a standard text-based chatbot, the app combines two key modalities:

AI-Generated Structured Data: The app uses a custom prompt in Google AI Studio to instruct the Gemini model to generate a JSON object. This output is not just a block of text, but a structured data format containing specific instructions for the app, including the character's personality (character_type), their expression (expression), and the exact dialogue (dialogue) they will deliver.

Text-to-Speech & Visual Animation: The app uses this structured data to deliver the response in two new modalities. It uses a Text-to-Speech (TTS) engine to convert the Hindi dialogue into an audible, spoken response. Simultaneously, it animates a cartoon character on the screen, matching their facial and body movements to the designated expression in the JSON data.

This fusion of AI-generated content with TTS and visual animation elevates the user experience beyond a simple conversation. It transforms a frustrating moment into a brief, comical, and highly interactive show, making the process of de-stressing more memorable and effective.

Individual Submissions

Thanks for this Opportunity.