Algonix is a lightweight, custom machine learning library developed by me. Built from scratch using Python and NumPy, it aims to provide beginner-friendly implementations of core machine learning algorithms
Tech Stack: Python
Built an ML model using NLP to classify fraudulent SMS messages. Used Logistic Regression, Random Forest, and SVM.
Tech Stack: Python, scikit-learn, NLTK
Developed a regression model to predict house prices using Scikit-learn pipelines with location and size features.
Tech Stack: Python, Pandas, Scikit-learn
Built an AI chatbot using Gemini Pro and Streamlit for smart Q&A and natural conversations.
Tech Stack: Python, Streamlit, Gemini API
An interactive Power BI dashboard to analyze UK road accident data using Power Query, DAX, and visuals showing KPIs, severity, and YoY trends.
Tech Stack: Power BI