As a Computer Science graduate with a strong passion for Software development, I aspire to leverage my innovative prowess to design and implement cutting-edge solutions that address real-world challenges and drive technological advancement.
Designed and developed a website that utilizes facial tracking technology to continuously monitor drivers' faces through a webcam while they are driving, aiming to detect signs of drowsiness or yawning. If drivers exhibit these signs, our model will alert them with a beep sound until they wake up.
Front-End: HTML, CSS, JavaScript | Back-End: Python - Framework: Flask
In the bellow video, I am going show step by step execution and working model of the project.
Successfully completed my internship in Data Science with Python at ‘Audaz Ventures Private Limited’. During my internship, I gained expertise in various data analysis tools and techniques. I worked on data acquisition, cleansing, EDA, and result interpretation using Python. I also led a capstone project to apply these skills practically.
Data analytics techniques are applied to the large existing ‘Indian census dataset’ to effectively predict the best state for initial startups. It was developed mainly with the help of: NumPy, Pandas, Histogram and Sunburst.
Developed a comprehensive website to facilitate online marriage registration, offering separate sign-in accounts for administrators and the couples. Integrated with a robust database for efficient data management.
Created a 3D simulation of the college cafeteria, showcasing design and animation skills using OpenGL functions. Transformed the cafeteria experience through interactive visualization.
Developed a user-friendly BMI calculation app using Java and XML in Android Studio. Calculated Body Mass Index (BMI) based on height and weight inputs.
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