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1. multiple_disease_prediction_using_ml multiple_disease_prediction_using_ml Public

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

   Python

2. Doctor_Appointment_Booking Doctor_Appointment_Booking Public

   This project is a Doctor Appointment Booking Website built using the MERN stack (MongoDB, Express.js, React.js, and Node.js). It allows users to easily book appointments with doctors, view availabl…

   JavaScript

3. Food_Delivery_website Food_Delivery_website Public

   A comprehensive food delivery website built using the MERN stack (MongoDB, Express.js, React.js, Node.js). This project features user authentication, restaurant browsing, menu viewing, order placin…

   JavaScript

4. Diwali_Sales_analysis Diwali_Sales_analysis Public

   This project aims to analyze sales data during the Diwali festival using Python. The analysis focuses on identifying key trends, customer purchasing behavior, and sales performance across different…

   Jupyter Notebook

5. Breast_Cancer_Classification_Using_Deep_Learning Breast_Cancer_Classification_Using_Deep_Learning Public

   This project demonstrates Breast Cancer Classification using a deep learning model built with TensorFlow and Keras. The model is trained on the Breast Cancer Wisconsin Dataset and predicts whether …

   Jupyter Notebook

6. Email-SMS_Spam_Classification Email-SMS_Spam_Classification Public

   A machine learning-based application using NLP techniques to detect spam messages. Built with Streamlit, NLTK, and scikit-learn, the model uses Multinomial Naive Bayes for high accuracy. Data visua…

   Jupyter Notebook