AccessAI

🚀 Inspiration

Many people struggle to understand complex documents like forms, notices, and instructions due to difficult language or unfamiliar terms. We wanted to build something that removes this barrier and makes information accessible to everyone instantly.

💡 What it does

AccessAI converts images and documents into simple, understandable content. It extracts text using OCR, then provides AI-powered summaries, explanations, translations, and also reads the content aloud in the browser.

⚙️ How we built it

We built AccessAI using HTML, CSS, and JavaScript. OCR is handled using Tesseract.js, and AI features like summarization, explanation, and translation are powered by the GROQ API. The app runs fully in the browser without any backend.

⚠️ Challenges we ran into

We faced issues with API integration, rate limits, and handling different file inputs smoothly in a frontend-only environment. Structuring clean file organization in GitHub was also a challenge.

🏆 Accomplishments that we're proud of

We successfully built a fully working AI-powered accessibility tool that runs directly in the browser, includes multiple AI features, and provides a smooth user experience without backend complexity.

📚 What we learned

We learned how to integrate OCR with AI APIs, handle frontend-only architecture, manage API limits, and improve UX for accessibility-focused applications.

🚀 What's next for AccessAI

We plan to add PDF support, offline mode, voice input, and improved multilingual understanding to make it even more powerful and inclusive.

Built With

• accessibility
• and
• api
• css3
• explanation
• history
• html5
• javascript-(vanilla-es6)-tesseract.js-for-client-side-ocr-processing-groq-api-for-ai-powered-summarization
• localstorage
• speech
• text-to-speech
• translation
• web