
M.Tech in Embedded Systems | Electronics & Communication Engineer
I am Lakshmi KT , an M.Tech (Embedded Systems) scholar at Amrita Vishwa Vidyapeetham, Bangalore with a foundation in Electronics and Communication Engineer. My favorite part of engineering is getting hands-on with microcontrollers like STM32, Raspberry Pi, and Arduino to see my code come to life in the physical world. Throughout my academic journey , I had the opportunity to work on numerous projects, from AI-enabled companion robots for the elderly to smart irrigation systems and digital wattmeters. From my early days of building small Arduino projects to my current work with Raspberry Pi , I've always been driven by the challenge of making tech that actually solves real-world problems.
When I'm not at my workbench, you'll usually find me leading or guiding projects. I really enjoy the
process of mentoring others and seeing a team effort come together. In fact, I'm currently the Class
Representative for my M.Tech batch at Amrita Vishwa Vidyapeetham, which has been a great way to stay
involved and help my peers stay on track. I'm always looking for new challenges where I can grow as an
engineer and help others do the same
Amrita Vishwa Vidyapeetham, Bangalore
Grade: 9.02
Year: 2025 β Present
Federal Institute of Science and Technology
Grade: 8.32
Year: [2021 β 2025]
Jeevass CMI Central School
Grade: 91.8%
Year: 2021
Jeevass CMI Central School
Grade: 89.83%
Year: 2019

πΉ Designed and implemented a portable digital wattmeter using STM32 microcontroller to measure real-time voltage, current, and power consumption with high accuracy.
πΉ Interfaced ADC, current sensors, and LCD display to perform real-time calculations and display electrical parameters efficiently.

πΉ Developed a console-based supply chain logistics simulator in C, implementing data structures and algorithms to optimize routing and inventory flow.
πΉ Simulated real-time logistics scenarios including warehouse management, order processing, and transportation cost analysis.
πΉ Built a predictive model using machine learning techniques to forecast USD to INR exchange rate trends based on historical data.
πΉ Performed data preprocessing, feature engineering, and model evaluation to improve prediction accuracy and analyze financial trends.
πΉ Designed a real-time road anomaly detection system using Arduino , accelerometer and ultrasonic sensors to identify potholes and speed bumps.
πΉ Implemented sensor data processing and alert mechanism to improve road safety and enable smart infrastructure monitoring.

πΉ Developed an AI-enabled assistive robot for elderly care with voice interaction, medication reminders, and automated daily scheduling features.
πΉ Integrated mobility using a line-follower robotic base, enabling guided movement in indoor environments.

πΉ Designed and built a desktop robot integrated with GPT-based conversational AI for intelligent human-robot interaction.
πΉ Implemented Raspberry Pi control, servo motor actuation, and LCD display interface for expressive movement and real-time communication.
πΉ Designed a smart plant monitoring system using Arduino and environmental sensors to measure soil moisture and temperature levels.
πΉ Implemented real-time data monitoring and automated irrigation alert mechanisms to promote efficient water management.
πΉ Developed a touchless smart dustbin using Arduino and ultrasonic sensors for hygienic and automated waste disposal.
πΉ Programmed real-time distance detection to enable automatic lid opening and closing for enhanced user convenience.