Build a Real-Time Indian Sign Language (ISL) Recognition Model

@AbderrahmaneLa

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@ghulamm501

Hi, I have reviewed the job description and I'm ready to start immediately. I guarantee 100% quality based on similar tasks I have completed, and I can offer you a 10% discount for this project. Please contact me so we can discuss the job and begin working on it.

@rehmani1

Using my extensive knowledge and experience in machine learning and deep learning, especially in the domain of computer vision, I excel at building models exactly like the one you need for Indian Sign Language (ISL) gesture recognition. I am not only well-versed with powerful frameworks like TensorFlow, Keras, and PyTorch but I have also worked with real-time gesture recognition models such as MediaPipe and HandPose. This makes me familiar with the optimization techniques necessary for speedy inferencing, ensuring that your project's requirement of less than 100ms latency is perfectly met. Furthermore, given my solid track record of creating intelligent applications that solve real-world problems, I instinctively understand the significance of your project. Being a full-stack engineer, I can go beyond just creating the model and provide you with everything required for a complete functional system—from preprocessing code for video frames to real-time inference code for webcam input using the trained model. Importantly, my quick turnaround time aligns well with your stringent deadline. I assure you not just quality but also speed in delivering a working code within 1-2 days. My pricing always reflects the true value of the work; therefore, you can expect a reasonable estimate keeping both—your budget and required deliverables—in mind.

@cloudaxisltd

I’m confident I’m the ideal person for your project to build a real-time Indian Sign Language recognition model optimized for seamless, user-friendly detection of alphabets, numbers, and words with under 100ms latency. I understand the urgent need for a clean, integrated system that outputs mixed gesture sequences swiftly and professionally. With expertise in TensorFlow, Keras, and real-time video processing using MediaPipe and OpenCV, I can deliver automated preprocessing and inference code alongside a well-documented trained model. While I am new to freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, Henning Munnik

@ayesha86664

Hi there! I see you need a real-time ISL recognition model that works fast and accurately. Building it from scratch under tight deadlines can be tricky. I can develop a trained model for alphabets, numbers, and common ISL words using Python and TensorFlow, optimized for <100ms latency. I’ll provide preprocessing code, real-time inference scripts, and a ready-to-use trained model in .h5, .onnx, and .tfjs formats. I can also guide on quick dataset collection if needed. Do you want me to include mixed gesture sequence detection like "I love you 3000"? Start /Open chat now

@Lerikus

Our background makes us well-suited to handle this project effectively, I’ve successfully delivered work comparable to what you need. I understand you require a clean, professional, user-friendly, and seamless Indian Sign Language recognition model capable of real-time detection of alphabets, numbers, and common words with under 100ms latency. We specialize in machine learning, computer vision, and real-time gesture recognition using TensorFlow, Keras, and OpenCV. Our expertise includes preprocessing, hand landmark detection, and model optimization for fast inference. While our company is new to the freelancer platform we are not new to the industry, we have a wide range of experience and expertise in rapid prototyping and delivering integrated, automated solutions. I’m available to discuss the project in more detail whenever you are ready. Regards, Lerikus

@romanpotapcz

Dear , I can develop a real-time Indian Sign Language (ISL) recognition model that detects letters (A–Z), numbers (0–9), and common words with low latency (<100ms). It also supports mixed gestures like “I love you 3000” and outputs text in real-time. Implementation Plan: - Environment & Modules: Python: opencv-python, mediapipe, tensorflow/keras, numpy, optional tensorflow-gpu with CUDA. - Data & Preprocessing: Capture 100–200 samples per gesture, extract 21 landmarks with MediaPipe, normalize and flatten features. - Model: ISL_Recognition_Model — Dense(128, ReLU) → Dropout(0.3) → Dense(64, ReLU) → Dense(num_classes, softmax). - Training & Optimization: Train in TensorFlow/Keras; GPU acceleration for <100ms inference. I - nference & Deployment: Real-time webcam prediction, sequence handling, export as .h5 / .onnx. Please contact me for more details. Best regards,

@Tanzeela11

I can deliver a real-time Indian Sign Language (ISL) recognition model within 1–2 days because my work focuses on computer vision and deep learning pipelines built for speed and accuracy. I’ve developed ML systems using TensorFlow, Keras, PyTorch, MediaPipe, and OpenCV, including real-time segmentation and gesture/landmark–based models suitable for fast inference . For your project, I will build an optimized ISL model that recognizes A–Z, 0–9, and common ISL words, and can combine them into mixed sequences like “I love you 3000.” I will use MediaPipe Hands for fast and stable landmark extraction and train a lightweight classifier for <100ms latency on live webcam input. Deliverables include: • Trained model in .h5 /.onnx /.tfjs • Preprocessing + training scripts • Real-time inference code with token parsing and sentence building • A lightweight dataset collection workflow (100–200 samples per gesture) • Clear README documentation My approach ensures fast turnaround: Day 1 – dataset setup, preprocessing, baseline model, real-time demo Day 2 – optimization, mixed gesture handling, exports, documentation I can start immediately and deliver a clean, working MVP within your 1–2 day requirement.