Hello I'm, Nasikethan

MCA STUDENT @ VIT

About Me

Hello! I'm Nasikethan Rajendran, an MCA graduate from VIT Vellore with a strong interest in developing impactful tech solutions across domains like machine learning and deep learning. I have hands-on experience with Python, TensorFlow, PyTorch, and YOLOv8, and have built projects such as real-time emergency vehicle detection systems and multilingual healthcare chatbots using NLP and LLMs. In addition to backend development, I also have working knowledge of Java and front-end technologies, enabling me to contribute to full-stack solutions. I'm passionate about applying theoretical knowledge to solve real-world problems and am currently focused on refining my skills, contributing to open-source projects, and exploring meaningful career opportunities in tech.

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Education

MCA – VIT University
BCA – Gobi Arts and Science College

Skills and Technologies

Programming Languages: Python, Java
Frameworks and Libraries: PyTorch, OpenCV, Flask, scikit-learn, AngularJS
Tools and Technologies: Git, SQL, Excel

My Projects

Visual Assistant using Gemini Pro

A virtual assistant to aid the visually-impaired using YOLOv8 object detection and Gemini pro

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EVD using YOLO | LSTM

A multimodal system for emergency vehicle detection using image processing and audio analysis techniques

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SmartRenew using LSTM

This project leverages machine learning and predictive analytics to optimize renewable energy integration in smart grids, enhancing grid stability and sustainability through advanced forecasting and predictive maintenance

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Health-Care Chatbot

A multilingual, AI-powered healthcare chatbot that provides personalized mental and physical health support through text and voice interaction using intent classification and LLM-based responses

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