P GANESHA MURTHY

Pursuing full-time role that presents professional challenges and leverages interpersonal skills, effective time management, and problem-solving expertise.

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Face-Based Attendance System :

Developed and deployed an intelligent face recognition-based attendance system to replace traditional methods with an efficient, automated solution. The system captures real-time images, processes them using OpenCV for face detection, and identifies individuals through machine learning models trained on facial features. Integrated with a backend database, the system accurately records attendance while ensuring data integrity.

• Key Features: Real-time face detection and recognition, error handling for multiple faces, and seamless integration with existing attendance systems.
• Impact: Reduced manual effort and enhanced the accuracy of attendance tracking for organizations or educational institutions.
  Tools and Technologies Used: Python, PyCharm, OpenCV libraries, and Scikit-learn (or any specific ML framework you used).

Blockchain-Powered Digital Voting System:

Designed and implemented a secure and transparent digital voting system leveraging blockchain technology to eliminate tampering and ensure voter anonymity. The solution involved developing smart contracts using Solidity for recording and verifying votes on the blockchain. Integrated MetaMask to manage user authentication and wallet connections, while Ganache provided a simulated blockchain environment for testing. A user-friendly front-end was built using React.js , ensuring accessibility across devices.

• Key Features: Immutable vote records, secure authentication via MetaMask, and a responsive front-end interface.
• Impact: Demonstrated how blockchain technology can revolutionize voting systems by enhancing security, transparency, and efficiency.
  Tools and Technologies Used: Solidity, MetaMask, Ganache, React.js, and Node.js.

IBM Data Science Professional Certificate- Coursera

Java Intern – LCC Computer Education Company (May 2023 – June 2023)

• Gained in-depth knowledge of Java programming, progressing from foundational to advanced concepts.
• Contributed to real-time projects, enhancing practical skills and understanding of software development.

Industry Project – Steag Company(January 2025-)

• Collaborating with an 8-member team to address an industrial problem involving early fire prevention in coal fields.
• Developing and implementing thermal sensor solutions integrated with drones for proactive fire detection and mitigation.