Pratyush Sharma

Identified limitations of FASTag, including reliance on physical RFID stickers and dedicated scanners.

Proposed a cloud-powered Automatic Number Plate Recognition (ANPR) system as an innovative solution.

Utilized the ANPR API for efficient vehicle recognition through Python and cloud-based solutions.

• Integrated ESP-32 microcontroller to enhance system control and responsiveness.
• Employed a servo motor for automated barrier operations.
• Executed HTTP requests for seamless API communication.
• Implemented Firebase as a mock database to manage balance deductions effectively.

• Developed a custom tool for real-time capture, decoding, and analysis of network traffic.
  Executed data packet inspection to extract critical information, including source/destination IPs and protocols.
  Designed a system with an emphasis on performance and a user-friendly interface.
  Integrated security insights to enhance overall network diagnostics and anomaly detection.