Indian Sign Language Recognition System
Bridging the communication gap with advanced AI
Empowering Inclusion with AI
Our ISL Recognition System leverages cutting-edge AI to bridge the communication gap, enabling smoother interactions for everyone.
Instant ISL Translation
Experience instant and accurate ISL gesture recognition, transforming how society connects with the deaf community.
Empowering Connections for All
✓ Seamless Communications
✓ Accessibility for All
✓Cutting-Edge Technology
Contact Us to Learn More
Real-Time ISL Recognition in Action
Experience how our advanced Indian Sign Language recognition system works in real-time, breaking barriers and fostering seamless communication.
Reach out today to explore how our ISL solution can help you or your organization.
How it works?
1
Upload Gesture Video
1 min
1
AI Decodes Signs
(Real-Time)
3
View Translation
(Instant)
4
Communicate Seamlessly
(Effortlessly)
All done!
Breaking Barriers, Building Connections
About Us
We are dedicated to bridging the communication gap between the deaf community and society through innovative technology. Our Indian Sign Language (ISL) Recognition System is a step forward in fostering inclusivity, accessibility, and understanding by providing real-time, user-friendly tools for sign language interpretation. By leveraging advanced AI and deep learning, we aim to empower individuals, institutions, and communities to connect seamlessly.
Mission
Our mission is to create an accessible and inclusive world where the deaf community can communicate effortlessly with society. We strive to develop cutting-edge technology that accurately decodes sign language gestures in real time, enabling smooth communication in various environments such as public services, healthcare, and education.
Vision
We envision a world where communication barriers no longer exist for the deaf community. Through our continuous efforts in advancing sign language recognition technology, we aim to provide scalable, adaptable, and real-time solutions that support fluid and natural conversations, ultimately promoting equality and accessibility for all.
Key Highlights of the ISL Recognition Project
01
Data Collection and Preprocessing
Utilized datasets like INCLUDE50 (900 videos, 50 words), INCLUDE100 (1,695 videos, 100 words), WL-ASL, and MS-ASL500. Preprocessing involved extracting 3D landmarks (hand, lip) and converting them into feature vectors for model training.
02
Shuwa Model Approach
Explored the SHUWA model using MediaPipe and K-NN for gesture recognition. Achieved 95% training accuracy on INCLUDE50 but was abandoned due to severe overfitting (3-4% testing accuracy).
03
Transformer Model for ISL
Developed a transformer-based model with positional encodings and self-attention mechanisms. Achieved 75% testing accuracy on INCLUDE50 and optimized INCLUDE100 accuracy from 59% to 75% through hyperparameter tuning.
04
Continuous Sign Language Recognition (CSLR)
Focused on recognizing dynamic ISL sequences for fluent signers. Leveraged models like RNNs, LSTMs, and transformers for real-time, low-latency recognition. Research and performance evaluation are ongoing.
05
Bidirectional LSTM with Attention
Tested for sequence learning but achieved limited success with accuracies of 23-25% (50 words) and 14-15% (100 words), falling short compared to transformers.
06
Model Optimization and Challenges
Addressed overfitting, hardware limitations, and real-time adaptability. Efforts include hyperparameter tuning, data adjustments, and architecture refinement to improve accuracy and scalability.
Transform Communication
with ISL Recognition
Unlock seamless communication with our advanced ISL recognition technology. Experience real-time sign language translation for a more inclusive society
✓ Instant Translation
✓ Precise Recognition