Artificial Intelligence has made it possible to handle our daily activities in new and simpler ways. With the ability to automate tasks that normally require human intelligence, such as speech and voice recognition, visual perception, predictive text functionality, decision-making, and a variety of other tasks, AI can assist people with disabilities by significantly improving their ability to get around and participate in daily activities.
Currently, Sign Recognition is available only for alphabets A-I and not for J-Z, since J-Z alphabets also require Gesture Recognition for them to be able to be predicted correctly to a certain degree of accuracy.
IMP NOTE: Due to GitHub Upload Limit Error h5 files have been uploaded as Zip in the repository. Alternatively the can be found at the following link : H5 Model Download Link
Find the Demo Video Here or https://www.youtube.com/watch?v=X1ZXAFHIKHc
Screenshot A
Screenshot B
Screenshot C
Screenshot D
others can be found in Output_Screenshots folder
Notes:
- Some paths are Absolute paths and hence may cause the program to break. Kindly check and replace those paths as required.
- Currently only works in Firefox Web Browser due to some security requirement in Chromium Based Browsers
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Run the Web App
- Install Requirements from
ProjectFiles\Flask\requirements.txtfile - Change Model as Required in
camera.py - Execute the WebApp using
flask runorpython app.py
- Install Requirements from
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Train the Model
- Open
Training_File\Externship Project.ipynb - Change Paths to Dataset
- Run the Notebook
- Open
| Name | Reg No. | Campus | GitHub Profile |
|---|---|---|---|
| Kartik Dhasmana | 19BCG10002 | VIT Bhopal | kaydee001 |
| Kushagra | 19BCG10025 | VIT Bhopal | kushagra10025 |
| Nirlov Deb | 19BCG10067 | VIT Bhopal | Nirlov24 |