-Indian-Sign-Language-Recognition-System

🤟 Indian Sign Language Recognition System

A production-grade Python desktop application for real-time Indian Sign Language (ISL) recognition with continuous sentence formation, multi-language text-to-speech, and accessibility-first design.

✨ Features

Three Recognition Modes

• 🔴 Sentence Mode: Recognize daily-life ISL phrases and form natural sentences
• 🟡 Alphabet Mode: Recognize A-Z letters for name spelling
• 🟢 Numbers Mode: Recognize 0-20 using finger counting

Key Capabilities

• ✅ Real-time hand detection using MediaPipe
• ✅ 10-second continuous gesture recording
• ✅ Natural sentence formation from multiple gestures
• ✅ Multi-language TTS (English, Hindi, Tamil)
• ✅ Accessibility-first UI design
• ✅ Session logging for therapists/caregivers

🚀 Quick Start

1. Install Dependencies

cd /home/invinciblx777/mvp
pip install -r requirements.txt

2. Run the Application

python main.py

📋 Supported Gestures

Sentence Mode (Daily Life)

| Category | Gestures | |———-|———-| | Emergency | HELP, EMERGENCY, DOCTOR, HOSPITAL, PAIN, POLICE | | Greetings | HELLO, BYE, HOW_ARE_YOU, I_AM_FINE | | Essential | THANK_YOU, PLEASE, SORRY, YES, NO | | Actions | STOP, COME_HERE | | Needs | WATER, FOOD, WASHROOM | | Identity | I, AM, NAME |

How to Sign (Examples)

• HELLO: Wave with open palm, all fingers extended
• HELP: Both hands raised with palms open
• YES: Closed fist with nodding motion
• NO: Peace sign (V) with palm forward
• THANK_YOU: Flat hand moving from chin outward
• WATER: W shape (3 fingers) moving to mouth

🎯 Usage Example

1. Launch the application
2. Select Mode: Sentence and Language: English
3. Click ▶ Start Recording
4. Sign: HELLO → I → AM → [spell your name]
5. The system outputs: “Hello, I am [Name].”
6. The sentence is spoken aloud automatically

📁 Project Structure

mvp/
├── main.py                 # Application entry point
├── config.py               # Configuration settings
├── requirements.txt        # Dependencies
├── modules/
│   ├── hand_detector.py    # MediaPipe hand detection
│   ├── gesture_recognizer.py # Gesture recognition (3 modes)
│   ├── sentence_former.py  # Continuous gesture → sentence
│   ├── tts_engine.py       # Multi-language TTS
│   └── logger.py           # Session logging
├── ui/
│   ├── app.py              # Main application UI
│   └── styles.py           # Accessibility-first styling
└── data/
    └── logs/               # Session logs (CSV)

🌐 Language Support

Language	TTS Engine	Status
English	pyttsx3	✅ Full support
Hindi	gTTS	✅ Full support
Tamil	gTTS	✅ Full support

♿ Accessibility Features

• Large, readable fonts (16px minimum)
• High contrast dark theme
• Large click targets (48px minimum)
• Clear visual feedback
• Keyboard navigation support

📊 Logging

Sessions are automatically logged to data/logs/session_YYYY-MM-DD.csv with:

• Timestamp
• Mode used
• Language
• Detected gestures
• Final output
• Confidence score

⚙️ Configuration

Edit config.py to customize:

• Camera settings (index, resolution)
• Detection confidence thresholds
• Recording duration (default: 10 seconds)
• UI colors and fonts
• BIS compliance settings (IS 13252 / IS 16333)

🛡️ BIS Compliance

This system is developed following Bureau of Indian Standards (BIS) guidelines for software safety and reliability:

IS 13252 - Information Technology Equipment Safety

The software implementation adheres to IS 13252 principles:

Feature	Implementation
Input Validation	All user inputs and external data are validated before processing
Error Handling	Graceful degradation under fault conditions with recovery mechanisms
Resource Management	Proper allocation, tracking, and cleanup of system resources
Data Integrity	Checksums and validation for data integrity verification
Audit Logging	Comprehensive safety event logging in data/logs/safety_audit.log

IS 16333 - Camera-based Systems (Ready for Hardware Integration)

The system is designed for future compliance with IS 16333:

Feature	Implementation
Camera Validation	Initialization verification and frame quality checks
Frame Quality	Brightness and contrast monitoring for reliable detection
Privacy Protection	Privacy mode option to prevent frame storage
System Monitoring	Continuous health monitoring and error tracking

Compliance Files

• modules/bis_compliance.py - Core BIS compliance module
• data/logs/safety_audit.log - Safety event audit trail
• data/logs/compliance_report.txt - Generated compliance report (on shutdown)

Generating Compliance Report

from modules.bis_compliance import generate_compliance_report, get_compliance_info

# Get compliance info as dictionary
info = get_compliance_info()

# Generate human-readable report
report = generate_compliance_report()
print(report)

🔧 Requirements

• Python 3.8+
• Webcam
• Internet connection (for Tamil/Hindi TTS)

📁 Project Structure

mvp/
├── main.py                 # Application entry point
├── config.py               # Configuration settings (inc. BIS compliance)
├── requirements.txt        # Dependencies
├── modules/
│   ├── hand_detector.py    # MediaPipe hand detection (IS 16333 ready)
│   ├── gesture_recognizer.py # Gesture recognition (3 modes)
│   ├── sentence_former.py  # Continuous gesture → sentence
│   ├── tts_engine.py       # Multi-language TTS
│   ├── logger.py           # Session logging
│   └── bis_compliance.py   # BIS compliance module (IS 13252 / IS 16333)
├── ui/
│   ├── app.py              # Main application UI (BIS compliant)
│   └── styles.py           # Accessibility-first styling
└── data/
    └── logs/               # Session logs, safety audit, compliance reports

📝 License

Built for accessibility and inclusion. Use responsibly.

🏛️ Standards Compliance Statement

“At the software level, this sign language detection system follows BIS-aligned guidelines such as IS 13252 for safe and reliable IT systems, with future readiness for IS 16333 camera-based compliance when hardware integration is done.”

”# -Indian-Sign-Language-Recognition-System”