Projects
A collection of data-driven projects showcasing expertise in machine learning, AI, and analytics, with a focus on solving real-world challenges through data-driven insights.
Potato Disease Classification using Deep Learning
Developed a deep learning model for early disease detection in potato crops using CNN, EfficientNet, and machine learning algorithms. Achieved 99% accuracy and minimized false negatives to 0.01, enhancing agricultural efficiency.
Multi-Purpose Chatbot using LLMs and Generative AI
Built an AI-powered chatbot integrating Q&A, image analysis, document insights, stock forecasting, and EDA tools using Google Gemini AI, LangChain, and Streamlit. Improved accessibility and efficiency in information retrieval across multiple domains.
Power BI Dashboard
Designed an interactive Power BI dashboard after a year of learning and practice, analyzing Superstore sales data to uncover trends in revenue, customer behavior, and product performance. Used DAX, data modeling, and visualization techniques to enhance decision-making insights.