Indian Sign Language to English Translator

@esraatarekyosef1

Hi, I am AI engineer with very wide and strong experience in ML building and fintuning including time series, computer vision, NLP, I implemented many projects in this feild I also can share some demos with you inbox, what made me sure I can do your task and I am looking forward to working with you

@Rahulsingh5xz

Hello, I’m Rahul Singh from Team Velora, and for the past 3 years we’ve been building real-time computer vision and deep learning pipelines, including gesture and keypoint-based translation models. I can deliver a proof-of-concept Transformer-based ISL-to-English sentence translator with low latency, minimal UI, and clear, well-commented code so your team can continue training afterward. Please come to private chat so I can share prior sign-language or keypoint model examples.

@Web1devloper

Drawing on my years of experience as a versatile web and app developer, I am confident that I can fulfil the requirements of the Indian Sign Language to English translation deep-learning model you seek. Proficient in both front-end and back-end technologies including HTML, CSS, JavaScript, Python, etc., I have tackled diverse projects with data-driven solutions at their core. My hands-on ML skill set will be invaluable in designing and implementing a transformer-based architecture for your model optimized for real-time inference. I fully understand the importance of maximising translation accuracy while minimizing latency for effective real-time communication. My previous work with Docker, Linux, and AWS among others demonstrates my prowess in optimizing performance in production-level settings. The fact that you could continue training the model from where I leave off aligns well with my transparent approach of providing clear, commented code, minimal UI, and comprehensive setup instructions. In conclusion, my proven experience implementing keypoint-based pipelines combined with my in-depth knowledge of and practicality with cutting-edge machine learning tecniques make me an ideal fit for this project. Following our collaboration you can expect not only a working proof-of-concept but also a platform that is scalable, accurate and performs at its best possible capacity at every level of implementation. Let's create an impactful solution together!

@dushyant317

I bring 13 years of professional experience delivering high-quality results. I am an expert in all required skills, ensuring precise and efficient execution. My track record includes completing complex projects on time and within budget. I maintain clear communication and provide reliable, long-term support. I’m ready to start immediately and deliver outstanding value to your project.

@michaelNabil33

Hi, i am a machine learning engineer, with a strong understanding of deep learning and computer vision, this project is aligned with my skills, i am proficient in object detection that is the main category of hand sign language translation, able to optimize the model to achieve high accuracy as well as be real time efficient, i am skilled in python, tensorflow and data augmentation. i have worked previous on a hand sign language classification project, that provided my with the suitable experience to work on this project. approach: I will build a computer vision model that uses key-point detection to capture hand, body, and facial landmarks from Indian Sign Language videos. After preprocessing the data, I will extract these key points to accurately identify each sign. Each recognized sign will be mapped to its corresponding meaning rather than just a literal label. I will then construct English sentences by combining the meanings of the signs in a natural and grammatically correct way. The model will be trained and tested to ensure reliable recognition and translation. Finally, I will deliver the complete system with documentation and support. waiting for your contact, i am pleased to work on this project, best regards, Michael

@devar68

As an AI and DevOps Developer with a specialty in Python, I am uniquely positioned to deliver on your project for an Indian Sign Language to English Translator. Over the years, I have developed a deep expertise in building AI-powered applications and scalable cloud solutions that prioritize practicality, scalability, accuracy, performance - all essential for a production-level model like this one. I have a strong track record of transforming complex challenges into simple and elegant solutions. For instance, in creating your translator app, I would not only leverage publicly available ISL sentence-level datasets but also train the model on your smaller sample dataset for maximum accuracy. Demonstrating my flexibility and adaptability as mentioned in your project scope, I will provide clear, commented code and easy-to-follow setup instructions for smooth end-to-end use of the system. This is not my first time working on projects with depth similar to yours. In fact, I have developed sign-language translation models in the past that employed keypoint-based pipelines similar to what you are looking for. This proven experience gives me an edge and an assurance to you that I deeply understand your project's needs and can meet them efficiently. Don't hesitate to reach out soon so we can further discuss how we can bring this amazing project into fruition!

@KarthikeswarTa

I have 21 years in Developing and buliding and Delivering robust applications/apps. I will deliver in time. Good understanding of technologies

@malaka191

I will develop a fast, accurate, and scalable deep-learning system that translates Indian Sign Language (ISL) sentence-level gestures into English sentences in real time. What I Will Deliver Real-time input from camera feed or MediaPipe/OpenPose keypoints. A lightweight Transformer-based model trained on a small sample dataset (4–5 sentences) for demonstration. A clean web interface that displays English predictions instantly. Fully commented code + easy setup guide so you can continue training on the full dataset. Optimized pipeline for low latency, practical deployment, and scalability. Tech Stack Python, PyTorch/TensorFlow MediaPipe/OpenPose for keypoints FastAPI/Flask + simple HTML/JS frontend Timeline Initial Demo: 4–5 days Final Delivery: 10–12 days Why Me Experience with sign-language, gesture recognition, and keypoint-based ML pipelines. Focus on accuracy, performance, and real-time optimization. I will deliver a clean, production-ready proof-of-concept that your team can easily extend and scale.

@abhayraj0008

I will develop a real-time ISL-to-English translation system using a transformer-based model optimized for accuracy and low latency. It will process live video or MediaPipe/OpenPose keypoints and display English predictions on a simple web interface. I will deliver a clean proof-of-concept with commented code, minimal UI, setup instructions, and a small demo dataset for 4–5 sentence-level gestures for further training and scalability.

@bishalr54

Hi, I’m Bishal Roy, an AI/ML engineer with hands-on experience in Indian Sign Language systems, computer vision, and real-time deep-learning pipelines. I recently built an ISL translation platform that won Smart India Hackathon 2024, using MediaPipe + CNN for real-time ISL-to-text with 93% accuracy and live deployment for 2000+ users — so this project aligns perfectly with my past work. Proposed Solution I will develop a real-time ISL sentence translation pipeline using: 1. MediaPipe Holistic / Hands Live extraction of hand, pose, and face landmarks with <10 ms latency. 2. CNN + Transformer Hybrid Model – CNN for spatial gesture encoding – Transformer for sentence-level translation – Optimized for mobile/web deployment (TorchScript / ONNX) 3. Real-Time Web Interface Minimal UI that shows live video + English sentence output with low latency. 4. Scalable Training Setup I’ll train on a small sample dataset (4–5 sentences) as requested, and deliver clean, modular code so you can continue training on the full dataset later. Deliverables • Fully working end-to-end POC • Commented Python + PyTorch code • Setup guide for easy retraining • Optimized inference for <100ms response time

@surajsngh18

Hi, I checked your project and I can build a complete POC for real-time Indian Sign Language (ISL) to English sentence translation. I’ll set up a lightweight pipeline using either live camera input or MediaPipe/OpenPose keypoints, and connect it to a transformer-based model optimized for low latency. You’ll get a simple web interface that shows real-time predictions, clean and well-commented code, and easy setup instructions so your team can continue training on the full dataset later. I’ll use a small public ISL sample dataset for the initial demo. Timeline: – Day 1–2: Input pipeline + basic UI – Day 3–5: Transformer model setup + sample training – Day 6–7: Real-time integration + final demo I have experience with pose-based ML pipelines and transformer architectures, so delivering a practical, scalable POC won’t be an issue. Let me know and I can start immediately.

@jagrutp3

Expert Translation Skills: I translate from [Source Language] to [Target Language] with strong command over grammar, vocabulary, and cultural context. Accurate & Contextual Translation: I ensure that the meaning, tone, and intent of the original text are preserved perfectly. Manual Translation Only: I do not rely on machine translators; every line is translated manually and proofread carefully.

@Himek27

Hello, I hope you are doing well. I am interested in working on your project. I have strong skills in web development, Python, and machine learning, and I have completed multiple real-time projects with professional results. I always focus on delivering high-quality work, clear communication, and on-time delivery. I would love the opportunity to understand your requirements in detail and provide the best possible solution. Please feel free to contact me so we can discuss your project and begin working together. Thank you for your time. Looking forward to working with you!