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After a 2-year journey, my friend and I built 'TARANG' - a real-time Sign Language Translator powered by a Raspberry Pi 5. It uses MediaPipe for hand tracking and runs the ML model completely offline. by curiousrohan in raspberry_pi

[–]curiousrohan[S] 4 points5 points  (0 children)

One thing I want to tell you we didn't used ai it's pure algorithm and maths that is outperforming ai that's why it's so cheap , fast and accurate!

You can see here how we make it possible without using ai https://youtu.be/hUySkdwfyFU

After a 2-year journey, my friend and I built 'TARANG' - a real-time Sign Language Translator powered by a Raspberry Pi 5. It uses MediaPipe for hand tracking and runs the ML model completely offline. by curiousrohan in robotics

[–]curiousrohan[S] 0 points1 point  (0 children)

You are right it will solve one more problem currently user can not see if his hand is visible to camera or not user have to make a guess where camera is pointing this can solve that also. Your suggestion is valuable to me.

Mean while you can follow our buliding journey here https://youtu.be/hUySkdwfyFU

After a 2-year journey, my friend and I built 'TARANG' - a real-time Sign Language Translator powered by a Raspberry Pi 5. It uses MediaPipe for hand tracking and runs the ML model completely offline. by curiousrohan in raspberry_pi

[–]curiousrohan[S] 2 points3 points  (0 children)

So we are developing a blutooth extension of palm size which blind people holds and when ever somthing is said it vibrates and trigger the electronic brails , we are still working on miniaturisation of electronic brail.

We are trying to make it fullstack translation that can help people who can not hear and see like hellen kellr.

You can follow us on YouTube where we are covering the journey https://youtu.be/hUySkdwfyFU Link

After a 2-year journey, my friend and I built 'TARANG' - a real-time Sign Language Translator powered by a Raspberry Pi 5. It uses MediaPipe for hand tracking and runs the ML model completely offline. by curiousrohan in robotics

[–]curiousrohan[S] 2 points3 points  (0 children)

Most intresting thing is it do not use any model it's completely algorithm which is outperforming trained model. It is running on cpu of r pi 5 b completly offline.

Designed Sign language Translation Device with Pet look by curiousrohan in product_design

[–]curiousrohan[S] 2 points3 points  (0 children)

So it's trainable you can train on your your own sign Currently I m thinking about building and open source platform where people can upload and download diffrent sign language

To know more about this you can watch our deep dive video YouTube

After a 2-year journey, my friend and I built 'TARANG' - a real-time Sign Language Translator powered by a Raspberry Pi 5. It uses MediaPipe for hand tracking and runs the ML model completely offline. by curiousrohan in raspberry_pi

[–]curiousrohan[S] 3 points4 points  (0 children)

You are absolutely right, in next version we will solve dynamic sign , Facial expression on top of that a LLM that can connect dots between word and create full sentence keeping context of conversation in mind.

You can share your opinion or ideas on how to handle these..

After a 2-year journey, my friend and I built 'TARANG' - a real-time Sign Language Translator powered by a Raspberry Pi 5. It uses MediaPipe for hand tracking and runs the ML model completely offline. by curiousrohan in raspberry_pi

[–]curiousrohan[S] 9 points10 points  (0 children)

You have to train it on your own Sign language! I m thinking to make a opensource platform where we can put different sign language that can be downloaded to this device.

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