Enthusiastic AI student with a focus on machine learning and proficient in Python and Java. Seeking an internship opportunity to apply theoretical knowledge in real-world AI projects and gain hands-on experience.
Webcraft: Where Words Create Webpages Present
• The proposed project intends to provide a web application that allows users to construct personalized webpages using natural language prompts without the need for complex code from the user end. We will employ NLP approaches to evaluate user input, extract essential information, and produce HTML and CSS code for website creation.
Enhancing road safety using V2V communications
• Successfully engineered a cutting-edge Reinforcement learning model utilizing the powerful Deep Q Network Algorithm within the SUMO environment. Harnessing the dynamic nature of vehicle interactions, transformed them into an ever-evolving state space, optimizing at each time step.
• Employed advanced techniques like the Adam optimizer and Cross-Entropy loss, we meticulously crafted a multi-layered neural network to train the model, achieving exceptional performance.
Exploiting the vulnerabilities of Traditional Captcha System and Exemplifying Smart Captcha System
• Trained a machine learning CNN model on diverse captcha, automated captcha filling on real-time websites using Selenium to show that traditional captcha system couldn’t protect data against robots. Further enhanced the project by presenting a different captcha system which couldn’t be bypassed by machine by 95% accuracy.
• Received a PATENT for Smart SDK upgrade (Application no: 17/456,970) at JPMC.
• Secured awards - ‘Guards of the Fort: Jump Starter’ and ‘Leadership & Innovation Appreciation Scroll’ at JPMC