Inspiration
We were inspired by the need for a more inclusive and accessible learning environment, particularly for visually impaired students. Traditional education materials and methods often pose barriers, so we wanted to create a solution that helps bridge that gap by transforming documents and visuals into interactive, accessible formats.
What it does
EduVision is an AI-powered platform that converts diverse documents and images into text and high-quality audio notes. This allows visually impaired learners to access educational content in an immersive and engaging way, giving them the tools they need to learn effectively.
How we built it
We utilized Optical Character Recognition (OCR) technologies, such as Tesseract, to convert printed text into digital text. Then, using Text-to-Speech (TTS) APIs, we converted the text into high-quality audio. We also built a user-friendly interface with Streamlit to make it easy for users to upload documents and interact with the system. Machine learning models helped enhance the accuracy of text extraction and speech synthesis.
Challenges we ran into
Integrating OCR with Tesseract proved to be more challenging than anticipated, especially with different font types and document layouts. Ensuring the accuracy of text-to-speech conversion with various types of documents. Overcoming the limitations of audio output to make the listening experience clear and smooth for learners.
Accomplishments that we're proud of
Successfully developed a working prototype that can handle different types of documents and images. Ensured high-quality audio generation that is easily understandable by users. Created a user-friendly platform that provides real-time accessibility to educational content for visually impaired learners.
What we learned
The importance of fine-tuning OCR to handle various document formats and types. How to integrate text-to-speech effectively with diverse content. The challenges of creating an inclusive solution that works for a wide range of users.
What's next for EduVision
Improving the AI models to better recognize complex layouts, handwriting, and special characters. Implementing features like personalized voice settings and interactive learning modes.
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