Neelam Dhheeraj

About

Information Security student pursuing B.Tech in Computer Science Engineering at VIT, with hands-on interest in ethical hacking, penetration testing, vulnerability assessment, and cybersecurity research. Has project experience using Python, FastAPI, SQL, and security tools to build and test security-focused systems.

Education

• VI
  B.Tech in Computer Science Engineering (Information Security)

  Vellore Institute of Technology

  Computer Science Engineering (Information Security)

  Computer Science Engineering (Information Security)
• CJ
  Intermediate (Class XII)

  Sri Chaitanya Jr. College

  Science

  Science
• CS
  Secondary School Certificate (SSC/Class X)

  Sri Chaitanya Schools

Skills

Tools / apps / platforms

Languages

Projects

• Web Application Vulnerability Scanner
  Python, SQL

  Built a scanner to identify common web application vulnerabilities using security testing and secure development principles. Used Python for scanning logic and SQL for storing and analyzing scan results.

• Multi-Layer Anomaly Detection with Digital Twin
  Python, OpenCV, NumPy, IoT, Machine Learning

  Developing a multimodal anomaly detection framework correlating electrical, thermal, mechanical, spatial, and software telemetry to identify abnormal computing-system behavior. Integrating INA219, DS18B20, MEMS accelerometer, thermal imaging, NodeMCU, and OCCT to collect power, temperature, vibration, CPU/GPU, memory, and cooling telemetry. Developing a hyperspectral-inspired image-processing pipeline using Python, OpenCV, and NumPy to extract thermal, hotspot, spatial, and temporal features. Building a digital-twin-inspired behavioral baseline and machine-learning pipeline to distinguish legitimate workloads from anomalous cross-layer signatures using synchronized data.

• RFID IoT Vehicle Security System
  ESP32, RFID, Python, FastAPI, GPS, C/C++

  Designed a three-zone vehicle security architecture integrating RFID authentication, laser-based intrusion detection, PIR/ultrasonic sensors, GPS tracking, and automated gate control. Developed a SHA-256-based identity tokenization and verification workflow with mobile-number validation to separate sensitive identity information from physical RFID credentials. Integrated ESP8266/ESP32, MFRC522 RFID, NEO-6M GPS, SG90 servo, LCD, and sensors using SPI, I2C, UART, and embedded C/C++. Built a FastAPI dashboard for vehicle registration, token validation, zone monitoring, GPS visualization, and timestamped audit logging. Validated intrusion detection, credential authorization, gate control, and GPS acquisition through subsystem and integration testing.