👩💻 About
I am an undergraduate student in Artificial Intelligence and Data Science with a focus on machine learning systems, applied AI, and data-driven intelligent applications.
My academic interests include machine learning, generative AI, predictive analytics, and intelligent systems for real-world applications.
I actively work on projects involving AI system design, full-stack integration, and machine learning pipelines, with an interest in research-oriented problem solving and scalable intelligent systems.
🧠 Technical Skills
Programming: Python, C++, SQL Machine Learning: Scikit-learn, Deep Learning basics, Data Analysis Frameworks: FastAPI, React.js (basic), TensorFlow (introductory) Tools: Git, GitHub, Jupyter Notebook, Power BI (basic)
📌 Projects 🤖 Location-Based Event Planner Chatbot (RAG System)
Designed a retrieval-augmented generation system using Gemini 1.5 Flash and Pinecone for context-aware event recommendations. Integrated real-time event APIs and vector-based semantic search for improved response relevance.
🏥 Health Diagnosis System (Machine Learning)
Developed a Random Forest-based classification model for multi-condition prediction with feature engineering and evaluation using Scikit-learn.
📊 Health & Fitness Tracking System (Full Stack)
Built a full-stack dashboard for tracking health metrics with authentication, analytics, and visualization features.
🖐️ Sign Language Recognition System (Computer Vision)
Developed a real-time gesture recognition system using OpenCV and MediaPipe for accessibility-focused communication.
🏆 Experience & Activities Hackathon participant (PSG Tech, Kongu Engineering College) AI/ML project development and implementation Interest in research internships and applied machine learning systems
Continuously learning and building AI-driven systems for real-world impact.