Smart AI-Powered Code Reviewer & Improver - web app that reviews, analyzes, and improves your code.

https://search-engine-2fpyr9kd7hgwahsbtgoywb.streamlit.app/

Created Thyroid Detection App using Streamlit

This project ,Travel Itinerary Generator, is an AI-powered travel planning tool using Google Gemini API and Streamlit. It helps users create personalized travel itineraries by collecting essential details such as location, duration, budget, interests, and accommodation preferences.

Deploying Machine Learning Models with Streamlit and Python on Loan Predictions for Business

Advanced EMI Calculator is a modern, feature-rich EMI computation tool designed for Indian consumers in 2025. It helps users calculate EMIs for different loan types, compare multiple loan options, visualize amortization schedules, and estimate affordability based on income and expenses.

An end-to-end ML & DL workflow automation platform built with Streamlit that empowers users to train, evaluate, visualize, and deploy machine learning models seamlessly — without writing code. It supports classification, regression, and clustering tasks, making model experimentation etc

Phonepe Pulse Data Visualization and Exploration: A User-Friendly Tool Using Streamlit and Plotly

Developed a web-based application for predicting the likelihood of multiple diseases using machine learning models with accuracy up to 95%.

A deployable machine learning system for estimating medical insurance premiums using realistic, leakage-controlled health and lifestyle features.

Health Care Premium Prediction - Machine Learning Project

Complete Pandas,NumPy,Polars,Plotly,Rich and SQL+DuckDB learning notebooks — hands-on reference

This project focuses on detecting diseases in cotton plants using machine learning techniques. Early detection of diseases in cotton plants can help farmers take preventive measures and ensure better crop yields. The project uses a Convolutional Neural Network (CNN) based on ResNet152 architecture for image classification.

This repository contains a PDF Summary Web Application hosted on Streamlit Cloud.

Personal ML portfolio built with Streamlit showcasing end-to-end data analytics and ML projects.

This project focuses on predicting sale prices for low-density residential family houses in New York City, specifically one, two, and three-family dwellings and homes.

Simple app that takes a user's passed text and returns the same text LiKe tHis.

End-to-end machine learning project to predict customer churn using classification models. Includes data preprocessing, EDA, model building, and deployment using FastAPI and Streamlit.