You will get AI-Based Sign Language Recognition System Using Computer Vision
Rising Talent

Rising Talent

Project details
This project delivers an AI-powered Sign Language Recognition System using advanced computer vision and deep learning techniques to translate hand gestures into readable text in real time. The solution is designed to improve accessibility and communication for deaf and hard-of-hearing individuals through accurate and efficient gesture recognition.
What sets this project apart is the combination of optimized AI model training, real-time recognition performance, clean system architecture, and optional mobile or web integration support. The project includes model development, testing, performance optimization, documentation, and source code delivery to ensure a complete and scalable solution.
What sets this project apart is the combination of optimized AI model training, real-time recognition performance, clean system architecture, and optional mobile or web integration support. The project includes model development, testing, performance optimization, documentation, and source code delivery to ensure a complete and scalable solution.
Machine Learning Tools
Deeplearning4j, Keras, NLTK, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$80
|
Standard
$180
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 2 | 4 | 5 |
Number of Graphs/Charts | 1 | 4 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - |
About Hafsa
AI Engineer | Machine Learning | Deep Learning | NLP | Computer Vision
Rawalpindi, Pakistan - 12:11 am local time
I have worked on AI-driven solutions including voice bots, recommendation systems, sign language recognition, medical AI systems, football player detection, sentiment analysis, and automation tools. My experience includes developing and deploying ML models, integrating REST APIs, building data pipelines, and creating AI-powered web and mobile applications.
I am skilled in Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, Flask, Node.js, Docker, PostgreSQL, and modern AI frameworks. Alongside AI development, I also build responsive Flutter mobile applications and full-stack web solutions.
I focus on delivering:
Clean and scalable code
High-performance AI models
Production-ready backend systems
API integration and deployment
Reliable communication and on-time delivery
Whether you need an AI chatbot, NLP solution, computer vision system, automation tool, ML model, or full-stack AI application, I can help turn your idea into a working product.
Steps for completing your project
After purchasing the project, send requirements so Hafsa can start the project.
Delivery time starts when Hafsa receives requirements from you.
Hafsa works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset & Project Requirements
Please provide the dataset, project objectives, preferred AI model details, and any existing research papers, code, or reference materials related to the sign language recognition system

