Rakesh S
Banglore
Summary
To pursue a career in automation that allows me to continuously learn and apply emerging technologies, driving advancements in efficiency and safety within the industry.
Overview
1
1
Certification
Work History
Internship
NEXSYS CONTROS PVT. LTD
Bengaluru
08.2023 - 09.2023
- The summary explores recent advances in sensor technology and its wide-ranging applications across industries
- It discusses how sensors have improved data gathering and enhanced system functionalities
- Key challenges like energy efficiency and integration with IoT are highlighted, alongside the evolution of sensor types such as optical, MEMS, and IoT sensors
- The analysis underscores their significant impact on sectors like healthcare, manufacturing, and environmental monitoring.
Education
Bachelor's In Electronics and Instrumentation Engineering -
Bangalore institute of technology
Banglore05.2024
Diploma in Electronics and Communication -
Sri jayachamarajendra polytechnic
Banglore11.2021
Skills
- C Programming
- Embedded System
- Fast Learner
- Instrumentation
- Internet Of Things
- Iot
- JAVA
- PLC
- Python
- SCADA
- VLSI
- Computer Skills
- Project Management
- Quick Learner
Languages
- English Advanced
- Hindi Advanced
- Kannada Advanced
Projects
1. Heart Rate Monitoring and Heart Attack Detection using IOT System:
Wearable Devices continuously monitor heart rate in real-time. Wireless Data Transmission sends data to a centralized IoT platform. Anomaly Detection algorithms identify irregular heart rate patterns indicating potential heart attacks. Alerting systems notifies healthcare providers or emergency services for timely intervention. Enhances early detection and response to cardiac events, benefiting patient health monitoring.
2.IOT Based Motor's Health Monitoring System
This project aims to prevent motor breakdowns in industries by monitoring motor performance and health. It combines sensors for temperature, current, voltage, and RPM to track motor parameters continuously. Data from these sensors are stored in a CSV sheet and displayed on a web dashboard for real-time monitoring. Additionally, a machine learning model using the Random Forest Classifier predicts motor failures to enable proactive maintenance. Overall, this system offers a cost-effective solution to enhance motor reliability, prevent costly repairs, and minimize operational downtime in industrial settings.
Certification
- Full Stack Java Certificate
- JavaScript and React JS Certificate
- Implant Training on IOT
Timeline
Internship
NEXSYS CONTROS PVT. LTD
08.2023 - 09.2023
- Full Stack Java Certificate
- JavaScript and React JS Certificate
- Implant Training on IOT
Bachelor's In Electronics and Instrumentation Engineering -
Bangalore institute of technology
Diploma in Electronics and Communication -
Sri jayachamarajendra polytechnic
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