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Amity Institute of Nuclear Science and Technology

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Research & Development Intern · 2026

Worked on the RADMAP (Radiation Mapping) project at Amity Institute of Nuclear Science and Technology, Amity University Noida, contributing to an intelligent radiation monitoring and visualization system.

Overview

As a Research & Development Intern at Amity Institute of Nuclear Science and Technology (AINST), Amity University Noida , I worked on the RADMAP project, contributing to the development of an intelligent radiation monitoring system.

My work involved integrating Raspberry Pi 5, LiDAR sensors, gamma spectroscopy, IoT devices and camera-based monitoring to build a prototype capable of detecting, visualizing and analyzing radiation data.

I also developed interactive monitoring dashboards, generated 2D radiation heat maps using radiation counts and gamma spectrum peaks, and contributed to the development of a 3D Digital Twin for environmental visualization.

Impact

01 / HARDWARE

Raspberry Pi 5 & IoT System Integration

Problem

Building a portable radiation monitoring system required seamless integration of multiple sensors and embedded hardware.

Solution

Integrated Raspberry Pi 5, LiDAR, gamma spectroscopy modules, cameras and IoT components into a unified monitoring platform.

Impact
  • Connected multiple hardware components into a single embedded system.
  • Enabled real-time sensor communication and data acquisition.
  • Improved portability and scalability of the monitoring prototype.
02 / DATA

Radiation Mapping & Gamma Spectrum Analysis

Problem

Raw gamma spectrum data can be difficult to interpret when identifying radiation distribution and potential hotspots.

Solution

Processed radiation measurements and gamma spectrum peaks to generate 2D radiation heat maps for spatial visualization.

Impact
  • Visualized radiation distribution in an intuitive format.
  • Improved identification of radiation intensity variations.
  • Enabled data-driven analysis of radiation measurements.
03 / MONITORING

Dashboard Development & Camera Monitoring

Problem

Radiation and environmental information needed to be accessible through a centralized monitoring interface.

Solution

Developed an interactive dashboard using Streamlit integrating sensor data, radiation metrics, system status and camera feeds.

Impact
  • Enabled centralized real-time monitoring.
  • Improved accessibility of environmental and radiation information.
  • Simplified monitoring for researchers and operators.
04 / SPATIAL COMPUTING

LiDAR Mapping & 3D Digital Twin

Problem

Traditional monitoring approaches can lack detailed spatial visualization of complex radiation environments.

Solution

Integrated LiDAR-generated environmental data and contributed to a 3D Digital Twin for spatial visualization.

Impact
  • Improved spatial awareness using LiDAR-generated environmental data.
  • Enabled immersive 3D visualization for remote monitoring.
  • Created a scalable framework for future autonomous radiation mapping.
05 / RESEARCH

Research, Prototype Development & System Validation

Problem

Developing a reliable radiation mapping solution required continuous testing, validation and interdisciplinary research.

Solution

Assisted with prototype development, validated sensor outputs, optimized system performance and collaborated with researchers on the RADMAP platform.

Impact
  • Strengthened prototype reliability through iterative testing.
  • Improved interdisciplinary collaboration between hardware and software teams.
  • Contributed to research focused on intelligent nuclear safety monitoring.

Technologies Used

Python Streamlit Raspberry Pi 5 Arduino UNO LiDAR Gamma Spectroscopy Radiation Mapping Sensor Integration Computer Vision OpenCV Camera Integration Dashboard Development 2D Heat Maps Data Visualization 3D Digital Twin 3D Modeling Embedded Systems Scientific Data Analysis Git GitHub

RADMAP Project & Reports

AINST · Nuclear Science & Technology

Worked under the mentorship of Dr. Abhishek Yadav on the RADMAP project, developing an intelligent radiation mapping system using Raspberry Pi 5, LiDAR, gamma spectroscopy, IoT and 3D Digital Twin technologies.