A Design and Development of a model to recognize the sign gesture for deaf and dumb people

1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Research Questions 1.4 Structure of the Work 2. Literature Review 2.1 Existing Gesture Recognition Systems 2.2 Technologies in Sign Language Recognition 2.3 Challenges in Sign Gesture Recognition 3. Methodology 3.1 Research Design 3.2 Data Collection Techniques 3.3 Model Development Process 4. System Design and Architecture 4.1 Overview of System Architecture 4.2 Hardware Components 4.3 Software Framework 5. Model Building 5.1 Data Preprocessing 5.2 Feature Extraction Techniques 5.3 Machine Learning Algorithms 6. Implementation and Testing 6.1 Model Implementation Steps 6.2 Testing Procedures and Results 6.3 Performance Metrics 7. Findings and Discussion 7.1 Analysis of Results 7.2 Comparison with Existing Models 7.3 Implications for Future Research 8. Conclusion 8.1 Summary of Key Contributions 8.2 Limitations of the Study 8.3 Suggestions for Further Research