Works done at International School of Engineering
ThyroAI is an AI-powered healthcare application that predicts thyroid cancer outcomes using machine learning. It analyzes patient clinical data to support recurrence prediction, stage classification, treatment recommendations, and survival analysis through an intuitive web interface, enabling smarter clinical decision support.
End-to-end data analytics project on IBM Telco Customer Churn dataset — EDA, SQL, Power BI dashboards, Excel pivot table, and predictive modeling.
A smart hostel mess management system that uses AI to predict food demand and reduce food wastage. The project helps optimize meal planning, track mess data in real time, and improve resource management through data-driven insights.
A jupyter notebook which trains a model with scikit-learn
A web app that assists doctors in prescribing right medicine to patients in order to avoid drug side effects
🔮 A Flask web app that predicts Bangalore house prices using ML
🌟 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
This repo contains a collection of my learning projects, showcasing my journey through exploring and analyzing a variety of datasets to uncover hidden insights. These projects reflect my passion for data and my continuous efforts to refine my data science skills.
AI-powered crop recommendations Smart insights, secure access, and complete farm history — all in one simple platform
Predict customer churn for a bank using machine learning in Python.
A web app that assists patients in diagnosing their illnesses
Exploratory data analysis of housing data using Python
This project, titled “Lung Cancer Prediction,” presents a web-based application that enables preliminary risk assessment for lung cancer using Machine Learning Algorithms.
This class for machine Learning presents the end-to-end process of investigating data through a machine learning lens.
HAWC Hackathon Winning Submission: ML Prediction Model for Data Centre Cooling Optimisation using Localised Weather and Temperature Data
Track HackerOne programs with source code scope in a searchable dashboard for security researchers
Machine-learning-based heart disease risk prediction web application built with Python, Django, Scikit-learn and PostgreSQL.
Leveraged Bayes' Theorem to distinguish between spam and non-spam emails. The algorithm makes a "naive assumption" that each feature is independent of the others
A Flask web application that extracts dominant colors from uploaded images.
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