KS NITHESHWAR

A Dynamic and intellectually curious individual, I possess a relentless drive for excellence and passion for innovation that transcends conventional boundaries. With a profound appreciation for interdisciplinary thinking, I strive to harmonize technical acumen with creative insights, fostering solutions that are both impactful and forward thinking. Guided by integrity, resilience, and a vision for meaningful change, I continuously seek for opportunities to contribute, lead and evolve in an ever-advancing world.

• Core ECE
• Hand on Power Electronics
• Embedded systems & IOT
• Robotics and Control System
• Unmanned armed vehicle
• Machine learning

· Entrepreneurship

· Analytic acumen

· Ethicality

· Versatility

· Inquisitive

· Synergistic

· Quintessential Judgement

• Co-ordinator for 36hrs webinar for World Mental Health Day (2023-2024)
• Member, IEEE Education Society, KPRIET
• Event Co-ordinator
• Executive Member of ECE Department.

• WATT-A-THON (Hackathon) – 3rd Prize
• ABB Hackathon – 2nd Prize
• INNOVATE-X 3.0(hardware hackathon, 24 hours)– 2nd Prize
• Bio Pitch, AIC Raise –Special Prize (PIONEER INNOVETORS)
• National Mathematics Week– 1st Prize (Paper Presentation)
• National Science Day– 3rd Prize (Paper Presentation)
• CAMCEE 3.0– 3rd Prize (Paper Presentation)
• ROBOFESTA 2K25– 2nd Prize (Paper Presentation)
• National Level TECH Symposium– 3rd Prize (Paper presentation)
• ACCUMEN25– 1st Prize (Paper Presentation)
• YESIST12– 1st Prize (International Project contest)

· Portable Hand Hygiene Monitoring System: Technologies: OpenCV, Raspberry Pi, Python (Thonny), Altium, Proteus, IR Sensor, Relay Module, File I/O, Open CV, Media pipe line.

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· Argo Shield – Wildlife Intrusion Prevention System: Detected animals like elephants and birds using Raspberry Pi 4, 5MP Pi camera, PIR sensors, and OpenCV object detection (YOLO).

· Auto PLC: an application for automatic generation of Structural code of PLC using 4 knowledge agents with just give the problem or needs as a Prompt.

· 16-Array Line Following Robot: Built a custom 16-sensor array using TCRT5000 and a multiplexer to enable precision path tracking.

· Google Sheets Logging via ESP32: Connected sensors to ESP32, logged sensor data in real-time to Google Sheets without MQTT for lightweight monitoring.

· Unmanned armed vehicle: Frame build using 3d print by Fusion 360, Autonomous drone by auto flight controller, can be controlled by Hand Gesture using Raspberry PI, Micro Doppler effect for classification of object with LIDAR using Spectrogram, including Swarm technology included for coordination for specific missions.

· Autism and Physiological game: Arduino interfaced with game development software Unity Engine. Thereby controlling the game character by reality. (Applied for Patent).

· AI attendance monitoring system: a monitoring system with just the existing camera without a retrofit for reducing the time and effort to put into this.