Dhara User

I’m an AI/ML-focused B.Tech student (Artificial Intelligence & Machine Learning) with hands-on experience building intelligent systems—chatbots, recommendation engines, and computer vision applications. I’m passionate about Generative AI and scalable AI solutions, and I love turning ideas into real, working products.

In my projects, I’ve developed end-to-end solutions like a Video Recommendation System that uses ResNet18 for OA severity detection and gait analysis to recommend personalised exercise videos. I also built a Genomic Data Analysis project with a Random Forest classifier using SNP-based features (ClinVar, GWAS, PharmGKB) for disease risk prediction, and an AI healthcare chatbot using LLaMA3 via the Groq API.

I’ve also implemented practical AI systems with modern stacks, including a CompanionAI appliance assistant using a RAG pipeline with FAISS for real-time manual retrieval and step-by-step troubleshooting. For scalable architecture and usability, I’ve worked with Flask/FastAPI plus frontend tools like React and TypeScript to create full-stack experiences.

Alongside AI development, I completed a Frontend Web Development Intern role where I developed responsive pages with HTML, CSS, and JavaScript, improving UX and accessibility while collaborating on feature implementation and bug fixes. I bring strong problem-solving, analytical thinking, and team communication to every build.