AI Real-Time Sign Language Gesture Recognition System
Real-time hand gesture and sign language recognition system converting American/Pakistani Sign Language into text and synthetic speech using MediaPipe and LSTM.
AI Real-Time Sign Language Gesture Recognition System is an authentic, engineering-grade DIY project kit designed for prototyping, robotics, and academic research. Includes verified schematics, pre-tested hardware, and nationwide express shipping across Pakistan.
AI Real-Time Sign Language Translation System (Audio/Text Output)
An assistive AI engineering project that bridges the communication gap for deaf and mute individuals. Using MediaPipe to extract 21 3D hand landmarks in real time and a Temporal Long Short-Term Memory (LSTM) Recurrent Neural Network, the system translates dynamic sign gestures into English/Urdu text and natural spoken voice output.
🧠 Architecture & Tech Stack:
- Landmark Extraction: Google MediaPipe Hand Holistic Tracker (63 spatial coordinates per frame)
- Sequence Classifier: Multi-layer Bidirectional LSTM in TensorFlow / Keras
- Voice Synthesis: pyttsx3 / gTTS Text-to-Speech Engine
- Interface: Clean, low-latency Tkinter GUI / Streamlit web dashboard
📦 Complete Deliverables:
- Full Python Source Code with real-time video inference loop
- Custom dataset collector script & pre-trained LSTM gesture model
- Complete Final Year Project Documentation & Defense Slides
What's Included in the Package:
- Full Python Source Code & Real-Time Inference Scripts
- Pre-trained LSTM Sign Language Model Weights
- Custom Hand Landmark Gesture Training Dataset
- Interactive User Interface with Text-to-Speech Output
- Complete Final Year Project (FYP) Thesis & Report
- Viva Presentation Slides & Flowchart Architecture
- Quick-Start Setup Guide & Remote Support
Quick Build & Interfacing Guide:
Unbox and verify all pre-tested sensors, microcontrollers, and wiring components included in your package.
Secure mechanical brackets, servos, and modules to the main frame using the provided mounting hardware.
Interface VCC, GND, and GPIO signal lines according to the verified schematic diagram provided with the kit.
Upload the tested source code via Arduino IDE, Python, or ESP-IDF and verify live sensor readings and actuation.
Need a Custom 3D Printed Casing or Multilayer PCB?
Get custom snap-fit enclosures and robotics parts printed via our custom 3D printing service in Lahore & Pakistan, or order industrial double-sided circuit boards through our custom PCB fabrication service with nationwide delivery.
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