Mahmood Hasan Khan Pathan

• Participated in testing and evaluation, measuring accuracy, latency, and user feedback, achieving ~91% gesture recognition accuracy and a latency of ~120ms.
• Collaborated with team members to debug, optimize performance on mid-range devices, and ensure cross-browser compatibility.
• Contributed to documentation and presented the project architecture, results, and future scope during internal evaluations and demonstrations.
• Implemented facial gesture recognition logic using MediaPipe's Face Mesh API to detect and track facial landmarks like nose tip, mouth, and eyebrows in real-time

System Design: Designed drone architecture with flight planning, obstacle avoidance, and AI-based navigation.

Sensor Integration: Worked with LiDAR, GPS, and IMU for real-time environment mapping.

Algorithm Development: Implemented A* and RRT algorithms for autonomous path planning.

Research & Analysis: Studied research papers on drone autonomy, focusing on energy efficiency and regulations.

Simulation & Testing: Simulated drone behavior using DroneKit and ROS.

Team Collaboration: Contributed to a 5-member team, documenting system design in a 40-page report.

• Developed a secure web-based voting platform that verifies users using face recognition (OpenCV) and fingerprint authentication before vote submission.
• Collaborated with a 4-member team to divide tasks across frontend design, biometric integration, and vote validation logic.
• Worked on face recognition implementation and helped with real-time biometric login flow.
• Assisted in building a responsive and intuitive user interface for candidate selection and vote confirmation.
• Contributed to system integration and testing, ensuring each user could vote only once, and that biometric checks were functioning securely.
• Participated in team discussions and debugging sessions to optimize the system and ensure seamless end-to-end user experience.