Health Risk Early Warning System (HREWS)
Health Risk Early Warning System (HREWS) is a Python-based ML app that predicts patient risk levels in real time, provides probability insights, clinical recommendations, and explains predictions using SHAP/LIME.
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Student Exam Score Predictor (SESP)
Student Exam Score Predictor is a machine learning project that uses Linear Regression to predict exam scores based on factors like study hours, attendance, sleep, and past performance. It includes data preprocessing, EDA, model training and evaluation, feature importance analysis, and a Gradio web app for real-time predictions with personalized recommendations.
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Hospital Management System (HMS)
Hospital Management System is a C-based program that manages hospital records, including doctor details, patient admissions, and consultation status. It supports doctor-patient assignments, queue management, emergency tracking, and record updates for efficient hospital operations.
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Movie Recommendation System (MRS)
Movie Recommendation System is a Python-based content recommendation project that uses TF-IDF and cosine similarity to suggest movies similar to a given title. It includes EDA, precomputed similarity matrices, reusable artifacts, and a simple query interface for fast recommendations.
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Vigenere Cipher and Enhanced Vigenere Cipher Encryption and Decryption
Vigenere Cipher and Enhanced Vigenere Cipher project provides encryption and decryption of text using both classical and enhanced methods. The enhanced version adds positional shifts for stronger security. Built with HTML, CSS, and JavaScript, it offers a user-friendly web interface for real-time encryption and decryption.
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