MoneyLion DS Assessment

A public custom search engine for me, my friends, and anyone else who want to use it containing stuff I find intersting or useful.

AI-Powered Customer Churn Prediction is a Flask-based web application that leverages machine learning to help businesses predict whether a customer is likely to leave (churn). Built with a clean and responsive UI using Bootstrap, this tool allows users to input key customer details — such as tenure, monthly charges, contract type.

An AI-Powered Flask Webapp, Designed to Detect Fake Article

The Diabetes Prediction Website is a web-based platform designed to assess an individual's risk of developing diabetes. The platform utilizes user-provided health data, such as age, BMI, blood glucose levels, Insulin levels, and number of Pregnancies, to deliver accurate, personalized risk assessments.

Educational deserialization attack on a hydroelectric plant simulator (HydroFlow Console)

A simple machine learning web app built with Flask and Scikit-learn that predicts the species of an Iris flower (Setosa, Versicolor, Virginica) based on its sepal and petal dimensions. The model is trained using Logistic Regression and loaded with pickle. Deployed on Hugging Face Spaces with a minimal user-friendly interface.

Built and evaluated rank-based, collaborative filtering, and matrix factorization recommendation systems on IBM user-article interaction data to deliver personalized content suggestions.

This is the project that I created for DSN 2 at VIT , As its name suggests it will help you to check for any abnormalities with your heart by giving the "Heart Risk Assessment"

An application which helps people find their foodie partner!

The project aims to recommend medicines based on product uses similarity, side effects, and product review weightages. Powered by NLP techniques like TF-IDF and Cosine Similarity, the system provides intelligent and user-centric recommendations.

This is a example how to use a trained machine learning model with a webpage

HexDoc is an AI-powered chatbot that helps users manage stress by offering personalized exercises, motivational quotes, and mental health resources. It uses NLP techniques and TensorFlow-based neural networks to understand and respond to user inputs.

Using machine learning, our system recommends the best crop based on soil and environmental factors (🌱 nitrogen, 🌾 phosphorus, 🥔 potassium, 🌡️ temperature, 💧 humidity, 🧪 pH, ☔ rainfall). Easy, user-friendly interface.

Calculate amounts of water, vinegar and salt to use for pickling.

Generating Locational data by web-scraping using the traditional 'Store Finder' or 'Locate my Store' functionality provided on websites.

Use a neural network model called sequential model for prediction rice leaf disease. Here I only use two types of Image and gain almost 90% accuracy. For frontend and backend development I used Python Flask framework and basic html,css. For building model I used jupyter notebook.

A Gender Classification App with Prediction Score and Eigenvalue Face Analysis Using Open CV