PRASANNA KUMAR R

Highly motivated and detail-oriented engineer with a foundational background in automation and electronic systems, complemented by hands-on experience in industrial machinery and controls. Skilled in troubleshooting automation systems, utilizing diagnostic software, and optimizing production processes. Proven ability to work with cross-functional teams to streamline workflows and implement efficient engineering solutions. Seeking to further specialize in industrial engineering to expand expertise in process optimization, systems engineering, and operations research, with the goal of contributing innovative and sustainable solutions to complex industry challenges.

Title: Low- Cost Portable Ventilator for Emergency Healthcare

Period : August 2024 - September 2024

This project is aimed at producing an accessible, cost-effective, and easily transportable emergency ventilator to address critical healthcare needs during emergencies. Using the Arduino Uno Rev 3 microcontroller as the central processing unit for data collection, processing, and control. Integrated an LCD display with I2C communication for real-time user feedback. Implemented an MG996 digital metal gear high torque servo motor to regulate air flow and pressure in the ventilator mechanism.

Title: Precision Gait Stability Analysis

Period : January 2024 till June 2024

Developed a Precision Gait Stability Analysis system integrating an ESP32 microcontroller and accelerometer  sensor. Implemented the Random Forest algorithm for analyzing motion data to assess gait stability. Utilized  motion capture technology to collect precise movement data, enhancing accuracy in detecting gait anomalies.  Collaborated with healthcare professionals to interpret findings, contributing to advancements in fall prevention  strategies and rehabilitation techniques.The achieved accuracy was an impressive 97%, accompanied by a learning percentage of 86%.

Title: Network Intrusion Detection System

Period : August 2023 till November 2023

Designed and implemented a NIDS using Python and Snort to monitor and analyze network traffic, incorporating real-time alerting via email and SMS.Configured network sensors and applied machine learning algorithms for anomaly detection, utilizing tools such as Wireshark, ELK Stack, and Scikit-learn.Integrated the NIDS into existing infrastructure in collaboration with network administrators, ensuring seamless operation and system compatibility.Demonstrated a strong track record by achieving accuracy scores of 97%, 93%, and 96% for each model, showcasing proficiency in model optimization and performance evaluation.

● The Joy of Computing using Python - IIT Madras, May 2023

● Programming in Java - IIT Kharagpur, November 2022

• Introduction to IOT - IIT Kharagpur,October 2023
• CREO - MSME-TECHNOLOGY DEVELOPMENT CENTRE (PPDC),september 2022

● Attended various Youth Red Cross events and Workshops

● Volunteer, Youth Red Cross, SVCE, 4 years

🡪80+ hours of service.

🡪Coordinated and organized various blood donation camps.

🡪Invited guest speakers to spread awareness about first aid, yoga, and pollution.

● Prasanna kumar R, Jeevanesh K L,Karthikeyan V ‘Precision Gait Stability Analysis Combining Hardware and Software'  in IJARSCT(  International Journal of Advanced Research in  Science, Communication and Technology), Volume 4, Issue 4, May 2024.

Hands-On Workshop: Electronics, Robotics and Arduino Nov 2021 - Jan 2022

● As a participant selected electronic components for projects

● Mechanical modeling and sensor positioning for line follower robots

● Overview on Arduino hardware and software algorithm and c code for line follower robot