ISL to English Real-Time Translation Model

@AhmadXpert2410

Hi there, I’m excited about the opportunity to build a real-time Indian Sign Language (ISL) to English sentence translation system. With experience in deep learning, computer vision, and transformer-based NLP models, I focus on creating practical, scalable solutions that balance maximum accuracy with minimal latency. For your project, I can design a proof-of-concept model that takes live video or keypoint data from MediaPipe/OpenPose and delivers accurate English word or phrase predictions on a simple web interface. The project will include a lightweight, well-commented codebase with a minimal UI and clear setup instructions, enabling easy end-to-end testing. I will optimize the transformer architecture for real-time inference, using a small sample dataset initially (4–5 sentences) to demonstrate functionality. My approach ensures that the model is ready for your team to continue training and scaling after hand-off. I have prior experience with keypoint-based sign language pipelines and real-time gesture recognition, ensuring both performance and reliability in production-like environments. I can provide a realistic schedule for an initial demo and final hand-off, delivering a solution that is accurate, fast, and easy to extend. Regards, Ahmad

@datahub0

Hello, I can build a real-time ISL-to-English translator using a Transformer model with MediaPipe or OpenPose for gesture detection. It will translate sentence-level ISL gestures into English text on a fast, simple web interface, optimized for accuracy and low latency. You’ll get the full source code, documentation, and setup guide for further training or deployment. Do you prefer the model to work with live video input or keypoint data?

@marvellouse0

I can deliver a ready-to-run Google Colab template for your Indian Sign Language → English translation project. The template includes: Transformer-based sentence-level model Hand landmark input via MediaPipe Proof-of-concept dataset (4–5 sentences) for demonstration Real-time English text output with a simple web interface (Gradio) Clean, commented code and setup instructions for easy hand-off This template is fully functional as a starter/demo, ready for your team to extend with real data and full production training.

@ajaypothula125

Hello, I’m Ajay Pothula, a Machine Learning and Computer Vision developer with strong hands on experience in gesture recognition, CNNs and real-time ML deployment. I have previously developed a Hand Gesture Recognition model using CNN and OpenCV that achieved 86% accuracy, enabling real-time gesture classification for human computer interaction. Your project translating ISL gestures to english sentences in real time aligns perfectly with my expertise in deep learning, MediaPipe, and transformer based NLP models. Fully working proof of concept model translating ISL sentences into English. Web interface for real-time demo (Flask/Streamlit). Clean, well-commented Python code and setup guide.

@tusharzanke91

Hello! I’m Tushar Zanke, a Deep Learning and Computer Vision researcher with strong experience in sequence modeling and multimodal translation systems. I recently collaborated with the University of Debrecen, Hungary, on a lip-reading-based speech recognition model, where we achieved 96% accuracy in translating lip movements into corresponding words a task conceptually similar to ISL gesture translation. Our work has been published in ScienceDirect (Elsevier), showcasing my expertise in developing high-accuracy, real-time vision-language models.