✋ AI Sign Language Translator Using Deep Learning & OpenCV

📌 Project Description:

This project develops an AI-powered sign language translation system that converts hand gestures into text and speech in real time. Using Deep Learning (CNN, LSTMs) & OpenCV, the model recognizes sign language gestures and translates them into meaningful text or speech output. This tool can help the hearing-impaired community communicate more effectively.

🔹 Key Phases of the Project:

✔ Dataset Collection & Preprocessing

  • Use ASL (American Sign Language), ISL (Indian Sign Language), or custom dataset.
  • Apply OpenCV for image segmentation & hand tracking.
  • Perform image augmentation for better model generalization.

✔ Sign Language Recognition Model

  • Implement CNNs (ResNet, MobileNet, or EfficientNet) for gesture classification.
  • Use LSTMs for detecting continuous sign gestures (for sentence formation).
  • Fine-tune the model on real-world sign language datasets.

✔ Real-Time Sign Detection & Translation

  • OpenCV-based hand tracking to detect signs using a webcam.
  • Translate detected gestures into text & audio using Text-to-Speech (TTS) APIs.

✔ Deployment

  • Develop a web-based or mobile app using Flask, Gradio, or TensorFlow.js.
  • Allow users to use the camera for live translation.
  • Optionally, integrate speech-to-sign translation for bidirectional communication.

📂 Project Deliverables:

✅ 📊 Professional PPT – Detailed explanation of sign recognition & deep learning model.

✅ 📁 Dataset & Source Code –

  • Preprocessed sign language dataset.
  • Deep Learning model code with CNN/LSTM for gesture recognition.
  • OpenCV-based real-time sign detection module.

💰 Project Price: ₹7,500/-


A highly impactful AI project combining Computer Vision, NLP, and Accessibility Tech. 🚀