My Projects
Here you'll find a collection of projects I've worked on throughout my academic and personal journey. These projects span across my interests in software engineering, integrated circuit design, signal processing, and FPGA programming.
Autonomous Drone Navigation System
Technologies: Python, Computer Vision, ROS
Developed an autonomous navigation system for drones using computer vision algorithms. The system can identify obstacles, create mapping of unknown environments, and plot efficient flight paths. Implemented using Python with OpenCV and integrated with Robot Operating System (ROS) for hardware control.
Low-Power Analog-to-Digital Converter
Technologies: Cadence Virtuoso, SPICE, CMOS Process
Designed and simulated a 12-bit successive approximation register (SAR) analog-to-digital converter optimized for low power consumption in IoT applications. Achieved 85% power reduction compared to conventional designs while maintaining signal integrity. Implemented in a 65nm CMOS process using Cadence Virtuoso.
FPGA-Based Digital Audio Effects Processor
Technologies: Verilog HDL, Xilinx Artix-7, Digital Signal Processing
Created a real-time audio effects processor on an FPGA platform that implements various digital audio effects including reverb, delay, chorus, and parametric EQ. The system accepts audio input through a 3.5mm jack, processes it in real-time, and outputs the modified signal. Implemented using Verilog HDL on a Xilinx Artix-7 FPGA.
Biomedical Signal Analysis Tool
Technologies: MATLAB, Signal Processing, Machine Learning
Developed a comprehensive tool for analyzing ECG signals to detect cardiac anomalies. The system uses wavelet transforms for noise reduction and feature extraction, followed by a machine learning classifier to identify potential irregularities. Achieved 94% accuracy in detecting arrhythmias when tested against the MIT-BIH Arrhythmia Database.