Dhriti Kothari Email & Phone Number

I am a 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 student with a passion for creating impactful solutions through technology. With expertise spanning programming, machine learning, and web development, I strive to solve complex problems by merging technical precision with creativity in design. My hands-on experience includes machine learning model development, web application design, and cutting-edge generative AI techniques.Key Skills:𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: HTML, CSS, C, C++, Python𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Neural Networks, Probabilistic Models, TensorFlow, Keras, Scikit-Learn𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs)𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗗𝗲𝘀𝗶𝗴𝗻: UI/UX Design, Web Scraping, Figma, Responsive Front-End DevelopmentNotable Projects:𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 – Developed an advanced RAG system, leveraging large language models and vector embeddings to process data from diverse sources, providing users with personalized, accessible responses.𝗙𝗼𝗻𝘁𝗙𝘂𝘀𝗶𝗼𝗻 – Designed a unique font-mixing app utilizing GANs and VAEs, enabling users to blend fonts and create custom styles. Integrated with Google Docs for seamless use.𝗠𝗲𝗱𝗘𝘃𝗮𝗹 – Created an AI-powered healthcare auditing platform using YOLO v6 to monitor hospital environments, ensuring essential supplies and hygiene standards are maintained.𝗪𝗲𝗪𝗼𝗺𝗲𝗻 – Co-developed a website to raise PCOS awareness, featuring a machine learning model with 90% accuracy in predicting PCOS and a chatbot powered by Microsoft DialoGPT.🎓 Experience Highlights:𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗜𝗻𝘁𝗲𝗿𝗻, 𝗡𝗲𝘄 𝗟𝗲𝗮𝗽 𝗟𝗮𝗯𝘀 (𝗡𝗟𝗟): Contributed to BeliefSat-0, a satellite project launched with ISRO, creating the Interface Control Document and applying object detection techniques.𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗥𝗲𝘀𝗸𝗶𝗹𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽: Completed a rigorous NLP and machine learning internship, focusing on real-world projects like recommendation systems and sentiment analysis.𝗜𝗻𝘁𝗲𝗿𝗻 𝗔𝗹𝗹 𝗪𝗼𝗿𝗹𝗱 𝗚𝗮𝘆𝗮𝘁𝗿𝗶 𝗣𝗮𝗿𝗶𝘄𝗮𝗿 (𝗔𝗪𝗚𝗣):Designed wireframes to define user journeys and developed front-end pages for the Audiobook Recording Management System using React.js. I collaborated closely with mentors and stakeholders, iterating on designs based on feedback to ensure a seamless transition from design to development.