KG DEEKSHITHA

Curious and driven towards a strong foundation in embedded platforms, signal processing, and robotics. Proven ability to research and implement innovative solutions to complex problems. Demonstrates exceptional adaptability and a strong work ethic, thriving in both independent and collaborative environments. Committed to continuous learning and tackling new challenges effectively.

Fire Detection using ESP32: Developed a stand alone fire detection model using image processing. It is useful in places where a computer/laptop is not available for processing like rockets, pipelines, etc which is prone for fire explosion. The model uses ESP32 and a camera module to detect fire using a user defined image processing algorithm. Image enhancement is done by increasing the number of bits of colors in pixels for obtaining more shades. C++ Programming Language is used.

Mini Project 1: Developed an Automated Writing Machine with computer numerical control (CNC) using Arduino and Raspberry Pi. The user input(image/text/audio) signal is converted into handwriting using Python programming to generate coordinates and drive your CNC machine through Arduino. The proposed work is a stand-alone system.

Demodulation and Decoding of S Band Satellite Telemetry Data: This is my final year project which involves Signals and Systems. The project is a Tata Consulting Services (TCS) funded project where the S Band signals of the satellite had to be demodulated and decoded. The antenna that can automatically receive the S Band data from the satellites is present in my college which was done by my seniors. Using this data, we had to decode the raw signals into readable format. Presently, we were successful in decoding 2 satellite signals and are working on more satellites which send data in S Band.

Advanced Ground Proximity Warning System (GPWS): Created whole pipeline for Advanced Ground Proximity Warning System for Aircrafts and Helicopters in cpp. Created end to end Hardware In The Loop (HITL) and Software In The Loop (SITL) Simulations for the same for testing and Monte Carlo Simulations using Robotics Operating System (ROS). Worked on creating cpp modules to read data files like tiff files and dem files for reducing the use of complex libraries for optimisation in RTOS and GPWS Pipeline. Made a Real Time Operating System (RTOS) for running only GPWS Pipeline for RPi and Jetson nano.

Extended Kalman Filter (EKF): Worked on creating the EKF for estimating position, velocity and attitude of aircraft. Used the open source PX4 EKF and tuned it for the sensors used in our device. The sensors used  were accelerometer, magnetometer, gyroscope and gps for EKF.

GPWS Mobile Application: Developed a cross-platform GPWS mobile application in React Native, with the complete warning and estimation pipeline running on the device using C++ bindings for both Android and iOS. This enabled real-time ground proximity alerts directly on mobile hardware with high performance and low latency.

• Automated Handwriting Machine, K. Deekshitha, C. Patange, M. Harshitha and P. Y.J, 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Lonavla, India, 2023, 10.1109/I2CT57861.2023.10126330
• Design of a Real-Time Tracking and Telemetry Parsing System for S-band Satellites, K. Deekshitha et al., 2023 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), Surabaya, Indonesia, 2023, 10.1109/AGERS61027.2023.10490573
• GNU Radio based Satellite Communication Tool, K. Deekshitha et al., 2024 IEEE Space, Aerospace and Defence Conference (SPACE), Bangalore, India, 2024, 10.1109/SPACE63117.2024.10668338