Project Overview

• Project Name: Sign Saathi
• Purpose:
  • Innovative application for learning and practicing Pakistan Sign Language (PSL).
  • Uses AI-driven avatar animations and machine learning models.
  • Translates text, audio, and image inputs into sign language gestures.
  • Provides an interactive practice mode and real-time feedback to enhance proficiency.

Target Audience

• Deaf or Hard-of-Hearing Individuals:
  • Facilitate effective communication using PSL.
• Sign Language Learners:
  • Students, educators, and enthusiasts interested in PSL.
• Teachers and Trainers:
  • For educational use in training environments.
• Family and Friends of Deaf Individuals:
  • To improve communication with loved ones.
• Organizations:
  • Educational institutions and non-profits supporting accessibility.

Project Objectives

1. Develop a sign language translation system for converting text, audio, and images into PSL gestures using an animated avatar.
2. Implement a practice mode for users to practice PSL gestures with computer vision and receive real-time feedback.
3. Provide personalized learning pathways through structured courses and quizzes tailored to individual learning needs.
4. Ensure cross-platform availability on both Android and iOS.
5. Integrate progress tracking and analytics for monitoring user learning.

Scope Statement

Inclusions

• Multi-modal Input Translation:
  • Users can input text, audio, or images for PSL translation.
• Animated Avatar:
  • Utilizes Unity engine to display accurate PSL gestures.
• Real-Time Practice Mode:
  • Enables users to practice and get AI-driven feedback.
• Personalized Learning Modules:
  • Courses and quizzes customized to proficiency levels.
• User Profile Management:
  • Features secure login and progress tracking.
• Data Storage & Analytics:
  • Stores learning history and offers performance reports.
• Offline Access:
  • Downloadable modules for offline learning.

Exclusions

• Initial release will not support non-PSL sign languages (e.g., ASL, BSL).
• No human-to-human real-time sign language interpretation.
• Limited offline functionality; some features need internet access.

Project Deliverables

• Functional Application:
  • A working PSL learning mobile application.
• AI-Driven Avatar System:
  • Avatar performing PSL gestures built on Unity.
• User Authentication System:
  • Ensures secure login and personalized experience.
• Progress Tracking and Analytics Module:
  • Stores and evaluates user performance.
• Offline Learning Feature:
  • Lessons available for download for limited connectivity.
• User Documentation:
  • Guides and tutorials for onboarding users.

Constraints and Assumptions

Constraints

• Hardware Limitations:
  • Requires mobile devices with camera and microphone capabilities.
• Performance Considerations:
  • Real-time processing limitations on low-end devices.
• Internet Dependency:
  • Features like AI-driven feedback require an active internet connection.

Assumptions

• Users have smartphones with functional cameras for gesture recognition.
• Availability of internet connectivity for cloud processing.
• Continuous support for the Unity engine for avatar animations.

Project Timeline

Acceptance Criteria

• Accurate translation of text, audio, and images into PSL gestures.
• High accuracy of avatar in performing PSL gestures.
• Effective evaluation of user gestures in the practice mode with AI feedback.
• User profiles with progress tracking and customized learning experiences.
• Secure user authentication and data protection ensured.
• Smooth performance of the application on both Android and iOS.

Document Formatting Guidelines

• Proper structure for headings and subheadings.
• Use clear and concise language.
• Utilize tables and bullet points for readability.
• Maintain consistent font and formatting.
• Include page numbers and a title page for organization.

Conclusion

• Sign Saathi is a revolutionary AI-powered application for PSL learning, utilizing multi-modal translation and interactive practice modes. This scope document serves as a roadmap to ensure efficient project execution while meeting user needs and accessibility standards.