Meghashree N

I’m an Artificial Intelligence and Data Science graduate with hands-on experience in machine learning, NLP, computer vision, and generative AI. I build production-oriented AI applications, from Retrieval-Augmented Generation (RAG) to chatbots and biometric authentication pipelines.

In projects like a RAG-Based AI Document Assistant, I designed document ingestion, chunking, embedding, and retrieval, using FAISS vector search and LLM integration for context-aware answers. I also developed an LLM-Powered Smart AI News Assistant with REST APIs, improving summarization quality through prompt engineering.

My work extends to computer vision for identity verification, including an AI-Based Biometric E-Voting System using face recognition, iris detection, OTP, and preprocessing to improve accuracy. I enjoy connecting model development to real application backends using Flask and API integration.

As an AI Intern across JupiterKings Technology, ITCart Pvt Ltd, and Brain-O-Vision, I tuned and validated biometric authentication models, built NLP chatbot integrations with Flask APIs, and ran machine learning experiments with dataset analysis and benchmarking. I’m motivated by end-to-end ML workflows, strong evaluation practices, and building AI that performs reliably in practice.