An AI-powered mobile assistant designed to help users organize overwhelming thoughts and transform them into manageable actions.
Mulhim explores the use of Large Language Models in a human-centered mobile application.
The application uses AI-powered conversations to help users break down complex thoughts into structured steps and practical suggestions.
- AI-powered conversational assistant
- Thought organization and reframing support
- LLM-based response generation
- User-focused mobile interface
- Swift
- SwiftUI
- Gemini API
- Prompt Engineering
- Figma
The project focuses on:
- Designing effective prompts
- Structuring AI responses
- Improving user interaction with LLM systems