Eashwari Priya Kavuri

I've built and deployed AI systems spanning NLP automation, RAG-based learning assistants, and explainable clinical ML. At Sria Infotech, I engineered an NLP-powered resume automation platform that enabled batch processing of 50+ resumes.

I improved chatbot intent classification workflows and worked directly with enterprise clients through requirement-analysis sessions and solution demonstrations. I use Python, Hugging Face Transformers, REST APIs, SQL, and retrieval-augmented generation to turn ambiguous needs into usable products.

My School LLM project uses RAG, FAISS, LLM APIs, and reinforcement learning to generate curriculum-aligned summaries, Q&A, mind maps, and adaptive question sequences. I also built a CKD decision-support system using XGBoost and SHAP that achieved 98% accuracy and 100% precision, with a deployed multi-role dashboard and chatbot in active clinical use.

My research includes a CNN-YOLO animal detection system trained on 20K images across 90 species, achieving 98% detection accuracy and supporting IoT-based alerts. I'm pursuing a B.Tech in Artificial Intelligence and Data Science and enjoy helping others solve real-time algorithmic and data-structure challenges.