PROJECTS

I have been working on a project that aims to detect the presence of COVID-19 in individuals based on their symptoms. The project utilizes machine learning techniques, specifically a supervised classification model, implemented using the Python programming language. The model is based on a Random Forest algorithm, which is trained to predict the likelihood of a person having COVID-19 based on their symptoms. The goal of this project is to provide a useful tool that can aid in the early detection of COVID-19 and help to reduce its spread

I have designed and implemented a functional FM transmitter and receiver system for message and carrier signals using Frequency Division Multiplexing (FDM). The system is able to transmit two FM signals simultaneously by multiplexing them into a composite signal. The composite signal is then transmitted through a channel and received at the other end. Bandpass filters are used to separate the multiplexed signals and they are demodulated to obtain the original message and carrier signals. The performance of the system was evaluated by measuring the signal-to-noise ratio (SNR) of the FM signals transmitted via FDM using Matlab. This project not only demonstrated my knowledge of FM transmitter and receiver design but also my understanding of FDM and its application in communications systems. Additionally, I have developed my skills in programming and data analysis 

This project proposes a solution to enhance the security and encryption of fingerprints in authentication systems by combining visual cryptography and LSB watermarking techniques. The system encrypts each pixel of the original fingerprint image into two shares using visual cryptography, ensuring that neither share provides any clue about the original pixel. These shares are then embedded into an innocent cover image using LSB watermarking, making it difficult for attackers to detect the hidden information. The system addresses security concerns related to fingerprint authentication by ensuring that even if the database is compromised, the original fingerprint cannot be reconstructed. Additionally, the system considers the computational limitations of lightweight fingerprint scanners, making the decryption process efficient and practical. By incorporating these techniques, the proposed system provides robust protection for fingerprint data while maintaining the integrity and security of the authentication process. 

I have developed a simple and user-friendly shopping app using Glide. The app is designed to make it easy for users to browse and purchase products, with a clear and intuitive interface. The app showcases products in various categories, including a detailed description, images, pricing and all other relevant information. The app is designed for easy navigation and allows users to quickly find what they're looking for.