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Home page
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Translating page
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Learning page
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Quiz page
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History page
Inspiration
Millions of deaf and mute individuals rely on sign language, but most hearing people don’t understand it. In classrooms, hospitals, and public places, this creates frustration and communication gaps. We wanted to build a simple, low-cost, and accessible solution that gives a voice to hand gestures and promotes inclusive education. That’s how SignSpeak was born — to help everyone communicate without language barriers.
What it does
SignSpeak allows users to upload a hand gesture image and translates it into text and speech using AI. It also includes:
A Learn & Practice section for alphabet and common sign words
A Quiz mode to make learning fun
Simple and accessible design for web & mobile
It helps both deaf/mute users and students/teachers learning sign language.
How we built it
Designed the user interface using Base44 no-code platform
Integrated workflows for translation and text-to-speech output
Added structured learning content and quizzes for beginners
Prepared an external API plan for AI model integration
Focused on clean navigation and accessibility
Challenges we ran into
Real-time gesture detection requires advanced ML and camera access
Building gesture recognition without a fully trained dataset takes time
Integrating an AI prediction API smoothly into a no-code app
Creating a simple interface that works well for everyone, including differently-abled users
Accomplishments that we're proud of
Built a working app prototype without coding using Base44
Designed a complete inclusive learning system in one place
Created a clean, user-friendly and impactful UI
Demonstrated the potential of AI for accessibility tech
We are proud that our solution can actually help real people.
What we learned
How to design and integrate AI abilities into a no-code platform
Teamwork and faster prototyping in a short hackathon time
Importance of accessibility-focused UX
Research about sign language patterns and educational requirements
What's next for Signspeak
Full camera-based real-time gesture recognition
Support Indian Sign Language and regional voice output
Progress tracking for students
Offline mode for rural schools
Convert text → Sign gestures for two-way communication
We aim to deploy SignSpeak in schools and hospitals to make communication equal and inclusive for everyone.
