Voice-to-Value Review System
AI system converting natural voice input to well-structured written reviews using LLMs with iterative refinement capabilities
Project Overview
Challenge
Creating quality online reviews required significant effort from users who had to carefully organize and articulate their thoughts, leading to low engagement with review platforms.
Solution
Built an innovative AI system that converts natural voice input into well-structured, coherent reviews using LLMs, making review creation effortless and natural for users.
Key Features
Results & Impact
Published research showing users prefer iterative AI refinement over one-shot improvements. Demonstrated through longitudinal study that voice-based review generation significantly improves user engagement and review quality.
Technology Stack
AI & ML
Backend
Frontend
System Architecture
Data Processing
Voice input processing and LLM enhancement
AI Engine
LLM-powered text enhancement and refinement
User Interface
Mobile application with voice input capabilities
Innovation
Novel approach to voice-based review generation with iterative AI refinement capabilities.
Performance
Validated through longitudinal study with 14 participants showing improved user satisfaction.
Impact & Results
Project Impact
Published research showing users prefer iterative AI refinement over one-shot improvements. Demonstrated through longitudinal study that voice-based review generation significantly improves user engagement and review quality.
Key Achievements:
Future Impact
Research findings will influence future voice interface design and AI-human interaction patterns in mobile applications.