Dynamic and enthusiastic student at Vidya Jyothi Institute of Technology, recognized for fostering a growth mindset and enhancing classroom engagement through innovative multimedia tools. Proven ability in team collaboration and research analysis, successfully increasing student participation through interactive activities and peer feedback. Committed to excellence and continuous learning. Equipped with foundational knowledge in Python, C languages and proficient in data handling and annotations. Committed to making significant impact through dedication and proactive approach.
Programming: Python, MySQL, Tkinter (GUI), PyFingerprint
Tools & Platforms: MySQL Workbench, VLSI Simulation Tools (Basic)
Hardware: R307S Fingerprint Sensor, CP2102 USB-to-Serial
IoT workshop certification
1. Fingerprint-Based Voter Authentication System (B.Tech Major Project)
Developed a secure voter authentication system using the R307S fingerprint sensor interfaced with Python's Tkinter GUI and MySQL database.
Implemented fingerprint scanning, storage, and verification features with the PyFingerprint library.
Ensured robust authentication by matching real-time scans with encrypted database entries.
2. Implementation and Comparison of Fast Convolution Techniques (B.Tech Project – DSP Specialization)
Implemented multiple fast convolution algorithms from Proakis' DSP methodology (e.g., Overlap-Add, Overlap-Save) using MATLAB and simulated in VLSI tools.
Compared performance metrics such as computational complexity, execution time, and memory requirements.
Demonstrated synthesis and simulation results using free VLSI tools.