Detected Hotspots in the Lithography process using Vision Transformers, Convolution Neural Networks and Artificial Neural Networks, and compared the results obtained using ANNs & CNNs

Hotspot detection using Weighted Kernel Density Estimation for Korean COVID-19 trajectory data

A Privacy Enhanced Tool for predicting hotspot areas during pandemic, analyzing consumption trends and estimating contact matrix.

Our entry for GIS Cup 2016

Predictive Guardians: An AI-driven crime prevention solution utilizing advanced analytics, machine learning, and optimization. Uncover crime patterns, profile offenders, forecast trends, and allocate resources optimally. Empower agencies with actionable insights to proactively build safer communities. 🚔💻🌍

Space Apps COVID-19 Challenge

Utilized machine learning algorithms (K-Means, Birch, Gaussian Mixture Model, Hierarchical Clustering, Mean-Shift Clustering) to identify hotspots. Validation with Silhouette Score and Heatmap. Hierarchical Clustering scored 0.943, demonstrating exceptional performance.