🎓 AI & Data Science Undergraduate Student
📍 India
💡 Passionate about Artificial Intelligence, Machine Learning, and Real-world Intelligent Systems
I am an AI & Data Science student focused on building practical, impactful systems using Machine Learning, Deep Learning, and Data-driven solutions.
My interests lie in:
- Smart City Systems & Predictive Analytics
- Applied Machine Learning
- Generative AI Applications
- IoT-based Intelligent Systems
Languages: Python, C++, SQL
AI/ML: Machine Learning, Deep Learning, Data Analysis, Model Building
Frameworks: FastAPI, React, TensorFlow (basic), Scikit-learn
Tools: Git, GitHub, Jupyter Notebook, Power BI (basic)
• Architected a Retrieval-Augmented Generation (RAG) based conversational AI system using Gemini 1.5 Flash and Pinecone vector database
• Implemented context-aware event recommendations using vector similarity search and LLM-based response generation
• Integrated Ticketmaster API for real-time event data and improved conversational UX using sentence-transformers
• Tech Stack: Python, FastAPI, Pinecone, Gemini API, REST APIs, HTML/CSS/JS
• Developed an interactive dashboard to track user fitness and diet data with real-time visualization
• Improved user engagement by 35% through intuitive UI and personalized analytics features
• Implemented secure authentication and scalable backend architecture
• Tech Stack: React.js, Node.js, Express.js, MongoDB, JWT, Chart.js
• Built a Random Forest-based machine learning model to predict 10+ health conditions
• Achieved 92% model accuracy using Scikit-learn and optimized feature engineering techniques
• Provided severity scoring and basic treatment suggestions using data-driven analysis
• Tech Stack: Python, Pandas, NumPy, Scikit-learn, Matplotlib
• Developed a real-time sign language recognition system using computer vision techniques
• Implemented gesture detection and classification to convert sign language into readable output
• Focused on accessibility and assistive AI applications for hearing-impaired communication
• Tech Stack: Python, OpenCV, MediaPipe, Machine Learning (CNN/Classification)
- Hackathon Participant – PSG Tech, Kongu Engineering College
- Worked on AI-based real-world problem statements
- Active in building project-based learning portfolio
- Interested in research-oriented AI applications
LinkedIn: https://www.linkedin.com/in/charuhasinip GitHub: https://github.com/Charuhasini30
⭐ Always learning, building, and improving.