I’m Ashitha, an Integrated MSc Computer Science student with a passion for Artificial Intelligence ,Machine Learning and Data Science. I thrive on applying advanced machine learning techniques to solve real-world problems, develop intelligent systems, and explore the vast possibilities of data-driven innovation.
- Machine Learning Enthusiast: Crafting models to predict and classify data, uncover hidden insights, and improve systems.
- AI for Real-World Impact: Developing AI solutions that address societal issues and drive technological progress.
- Data-Driven Problem Solver: Utilizing data to create actionable insights and enhance decision-making in complex scenarios.
Developed an AI-powered system using Convolutional Neural Networks (CNN) to detect image splicing, ensuring digital content integrity in critical applications like news verification and forensic investigations.
Created a sentiment analysis model based on VADER and Natural Language Processing techniques, paired with statistical modeling, to predict stock market volatility and assist traders in decision-making.
Developed an anomaly detection model that identifies fraudulent or unusual transactions in financial data using unsupervised learning techniques. This system was built to improve security and trust in financial operations.
Built an autonomous vehicle simulation system using deep reinforcement learning, enabling a vehicle to navigate complex environments safely and efficiently. This project aimed to advance autonomous driving systems with realistic real-world application.
Implemented a Named Entity Recognition (NER) system using Hidden Markov Models (HMM) to identify and classify entities in text, improving the accuracy of information extraction from natural language data.
Participated in multiple hackathons, delivering innovative AI solutions ranging from real-time prediction systems to interactive data-driven applications.