GDSC Hackathon - Typing Assistant

Description

An intelligent typing assistant developed for the GDSC Hackathon that provides real-time auto-correction and personalized typing suggestions. The application uses machine learning to adapt to individual typing patterns, resulting in a 40% improvement in typing accuracy.

Architecture

The typing assistant uses a client-side architecture with a lightweight ML model for real-time predictions. The system analyzes typing patterns, learns from user corrections, and provides contextual suggestions. The model is optimized for low latency to ensure seamless typing experience without noticeable delays.

Tools Used

Live Demo

Future Steps

• •Add multi-language support
• •Implement cloud-based learning for better personalization
• •Create browser extension version
• •Add voice-to-text integration