Outlier Detection Using Geospatial Analysis 23 September 2025

Outlier Detection Using Geospatial Analysis

📊 Case Study: Detecting Outliers in Election Results Using Geospatial Analysis Background Election transparency relies on consistency across polling units in the same area. When one polling unit records results that are significantly different from its neighbors, it may indicate irregularities or errors that require investigation. Objective The goal of this project was to identify […]

Weather Forecast Prediction 2025 7 September 2025

Weather Forecast Prediction 2025

Weather-Forecast-2025—Because Even the Sky Runs on Patterns This wasn’t about reinventing the Weather Channel. It was about learning and building something practical along the way. Weather-Forecast-2025 is a follow-along project where I used Python, Django, and a bit of machine learning to create a web app that predicts weather conditions. The app pulls from historical […]

Mental Health Risk Prediction 5 August 2025

Mental Health Risk Prediction

This isn’t just another machine learning project. It’s a quiet attempt to solve a loud, often overlooked problem. The Mental Health Prediction Model was born from something personal and something observed; it’s a mix of late-night overthinking and a conversation during a university application meeting on Google. What started as curiosity turned into a realization: […]