AI enthusiast and problem solver passionate about building intelligent systems.
Turning complex challenges into innovative, real-world solutions.
As a B.Tech student in Computer Science at KIIT, my journey began with a fascination for how data can drive real-world impact. My passion for Machine Learning and AI has led me to specialize in building intelligent systems that bridge the gap between human experience and machine intelligence. I thrive on solving complex problems, transforming data into actionable insights, and creating applications that make technology intuitive and impactful.
My academic path is complemented by hands-on projects in computer vision, NLP, and data science, where I've developed solutions like AI-powered attendance systems and fraud detection models. I'm also skilled in front-end development, enabling me to deliver end-to-end solutions.
I'm a results-driven individual, always eager to learn and grow—whether through certifications, workshops, or teamwork on the basketball court. My goal is to contribute to the next generation of AI-driven innovations and collaborate on projects that make a difference.
Developed an innovative attendance management system using facial recognition technology that automates the attendance tracking process.
A machine learning-based system that detects fraudulent credit card transactions in real-time using Random Forest Classifier and SMOTE.
Developed an AI Image Generator using DALL-E, allowing users to transform text descriptions into unique images.
A multimodal AI assistant that combines image analysis, speech recognition, and text-to-speech.
Interact using images and voice, and get both text and spoken responses—all in a seamless Gradio web interface.
RockyBot is an AI-powered news research tool that lets users analyze up to three news articles at once, ask research questions, and get instant, source-backed answers—all through a simple Streamlit web app using OpenAI, LangChain, and FAISS.