Ananya Nair

I’m an AI & ML graduate who enjoys turning complex ideas into simple, practical solutions. I focus on how AI can make everyday tasks easier and smarter by combining technical work with clear communication and user understanding.

In my AI–ML Virtual Internship, I worked on computer vision and NLP models and improved performance by 15–20% through hands-on tuning and testing. I also collaborated with teams on model interpretability and user experience, sharing insights that helped make AI tools more intuitive, reliable, and useful for reducing manual work.

My projects reflect the way I build and iterate for real outcomes. I developed an AIResumeAnalyzer to extract keywords and automate ATS scoring using NLP and machine learning, increasing parsing accuracy by ~25% and reducing evaluation time by nearly half with a Streamlit interface that improved engagement by ~30%.

I also designed and developed a reinforcement learning–based Personalized Treatment Plan, improving recommendation quality by nearly 20% while reducing model errors by 15–30%, and built a Human Face Emotion Detection model using 3D CNNs with a 12–18% accuracy improvement and real-time performance around 25 FPS. Alongside this, I’ve secured 2nd place in a university webathon and represented my university at Model United Nations events.