Ttile: "Exploring Image Recovery for Hybrid Bit Depth Pixel Layout."- Developed a Resnet model for Image Recovery from Low Bit-Depth working on remote server.- Recovering Image from low bit-depth input like 2-bits and 3-bits to improve the processing time.- Using some of the pixel from original image to the input image improved the image recovery.

Title: "Interpreting Customer Churn Prediction: An Explainable AI Approach for Enhancing Business Insights."- Developed Machine Learning Models and emphasizing on XGBoost Model to Predict Customer Churn.- Applied feature engineering techniques to Improves Model Performance and Interpretability.- Interpreted the outcomes of the black-box ML models using frameworks like LIME and SHAP.