I am a student at SR University with a strong foundation in technical skills, data structures and algorithms. My hands-on experience with real-time projects showcases my ability to apply this knowledge effectively.
I have experience developing both frontend and backend projects
Passionate about crafting seamless and impactful digital experiences,
I specialize in both frontend and backend development.
With a commitment to quality and innovation,
I thrive on solving complex challenges and delivering exceptional results that inspire trust and confidence.
Dedicated to continuous learning, I aim to stay at the forefront of technology
to create solutions that make a difference.
Here are a few selected projects that reflect my passion for leveraging technology to create impactful solutions.
Doctor Appointment Booking
This System is built with Express, JavaScript, and Tailwind CSS. The application allows users to book and manage appointments,
with an integrated online payment method for secure transactions. I utilized Express for the backend to handle scheduling, user authentication, and payment processing.
Developed a feature-rich Weather Application using the OpenWeatherAPI. This application allows users to check real-time weather conditions,
including temperature, humidity, and wind speed, by entering the name of any city.
This application securely stores user data in MongoDB and includes verification mechanisms to ensure authenticity.
I implemented Nodemailer for sending verification and notification emails,
enhancing user engagement and security.
Developed a robust lane detection system using Python and OpenCV, aimed at enhancing vehicle safety by accurately identifying road lanes in video input
Implemented Canny Edge Detection to extract prominent edges by reducing noise through Gaussian blurring and detecting intensity gradients, ensuring precision in identifying lane boundaries.
Developed a Machine Learning Model to predict Hepatitis C using patient data, achieving an impressive 91% accuracy. The project involved preprocessing and analyzing medical datasets to identify key features critical for prediction.
These are the skills I have developed through hands-on experience and continuous learning, which have helped me in solving complex problems and building efficient solutions.
