AxionCura is a machine learning–based early stroke prediction system that analyzes patient health attributes to estimate stroke risk. It includes a trained pipeline model and a simple Python interface for running predictions locally.

College Recommendation System for Engineering Admission

A machine learning-based application designed to predict heart disease based on patient data. The project leverages the Heart Disease dataset from the UCI Machine Learning Repository, using various machine learning models to analyze and classify patient information for early disease detection.

An AI-driven adaptive learning platform for HSSC Mathematics, personalizing content using student performance and mental-state data with predictive models and an AI chatbot.

Predictive modeling for Ebola outbreaks to forecast cases, deaths, and fatality ratios using geographical and epidemiological data. This repository includes predictive models, implementation scripts, and a detailed report on methodology, results, and applications in outbreak management.

Car Price Decision Assistant is an end-to-end ML app that predicts the fair price of used cars and provides Buy, Negotiate, or Avoid decisions by comparing model estimates with seller prices. It uses a Random Forest pipeline and is deployed as an interactive Streamlit web app.

Prime Number team's final round submission for the DAZONE 2024 competition

This project is for forecasting water demand using LSTM, deep learning algorithm. A dashboard is created using the predictions for decision making using Streamlit

Análise de dados aplicada à tomada de decisão em marketing, transformando investimentos em insights estratégicos orientados a resultados. / Data analysis applied to marketing decision-making, transforming investments into strategic, results-driven insights.

Pure GDScript neural network implementation for Godot Engine with real-time topology visualization.

🧬 Predicts glucose levels using R Shiny and linear regression on health data

This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine

CSUGlobal - MSDA - Capstone Project

This model constructs a layered structure of predictive cognition that integrates self-forecasting, environment anticipation, and meta-awareness. It departs from statistical inference by structurally modeling intelligent prediction capabilities. 本モデルは、自己予測・環境予測・メタ認知を統合した予測構造を構成的に記述し、知的予測能力を高次にモデル化します。確率的推論に依存せず、構成的前提と自己状態に基づき未来を描出します。

A Machine Learning project that predicts a student's Performance Index based on academic and lifestyle factors using Linear Regression. The project covers data preprocessing, feature scaling, model training, evaluation, and an interactive user input system for real-time predictions.

Proyecto de aprendizaje automático que predice el tiempo de recuperación de lesiones deportivas utilizando Python, Scikit-learn y Streamlit.

Machine learning web app that predicts penguin species using a Random Forest classifier and interactive feature inputs.

A machine learning web application that predicts resale flat prices in Singapore using historical HDB data. Built with Scikit-learn and Streamlit, the app helps buyers and sellers estimate market value through real-time predictions.

Predictive Football Model & backtesting simulation written to run on AWS.

Quantitative trading engine developed as a university semester project. It utilizes k-NN, Linear Regression, and LSTM neural networks combined with news sentiment analysis to predict stock and crypto market movements. Features a robust backtesting framework.