LingoFlow

Project Goal

LingoFlow was developed during the Innov-Era Hackathon to address the reading challenges faced by individuals with dyslexia. The project aimed to create an affordable, wearable assistive technology that could help dyslexic users access written content more easily.

The device combines hardware and software innovation to provide real-time reading assistance through gesture-controlled OCR and audio feedback, making written text more accessible to those with reading difficulties.

Technical Implementation

Wearable Hardware: Designed around Raspberry Pi Zero for portability, creating a lightweight wearable device that users can comfortably use in various environments.

Gesture Recognition: Implemented MediaPipe-based machine learning models for accurate hand gesture detection, allowing intuitive device control without complex interfaces.

OCR Pipeline: Integrated Optical Character Recognition to convert printed text into digital format, optimized for various fonts and text conditions.

Text-to-Speech: Developed audio feedback system with customizable speech patterns and reading speeds to accommodate different user preferences and needs.