Added Project Documentation and README for Baseball Injury Risk Analysis

[Pranavmatta-007]

This pull request introduces comprehensive documentation for the Baseball Injury Risk Analysis project in both PDF and Markdown formats.

🔹 The PDF document serves as a detailed technical report, covering:

• The motivation behind the project and the problem being addressed
• Objectives and scope of the system
• Technical breakdown of the machine learning pipeline and pose estimation logic
• Dataset development, including video sourcing, joint angle extraction, and label assignment
• Training methodology for the risk prediction model
• System architecture, including script-level responsibilities and modular design
• Key challenges encountered during development, such as dataset limitations and platform constraints
• Proposed directions for future work and system expansion

🔹 The README.md provides a clear and accessible summary of the same information, structured for developers and contributors viewing the project on GitHub. It includes:

• An overview of the project’s purpose and features
• Description of the technology stack used (MediaPipe, TensorFlow, Streamlit, OpenCV)
• High-level architecture and functional breakdown
• Dataset and model insights
• Key features, limitations, and potential improvements

Together, these documents ensure the project is well-documented, easy to onboard for new contributors, and informative for stakeholders seeking technical or strategic context.

Please review and let me know if any changes are needed. I’d be happy to revise based on feedback.

[ben-AI-cybersec]

fixed now