Projects
An overview of my research and applied projects in AI and Machine Learning.
Academic Research
Visually Evoked EEG Classification and Perceived Image Regeneration using Deep Learning Technique for Brain Fingerprinting
OngoingThis project explores the use of generative deep learning models to reconstruct visual stimuli from EEG signals, with applications in brain fingerprinting and understanding neural representations of vision.
Research Team:
- Dr. Shamama Anwar (Principal Investigator)
- Nandan Tiwari (Project Associate and Developer)
Interpretable AI for Medical Diagnosis
CompletedThis research focused on creating "glass-box" deep learning models for medical imaging analysis that provide clear, human-understandable justifications for their diagnostic predictions.
Applied AI & ML Projects
Real-Time Object Detection for Edge Devices
Developed a lightweight CNN model optimized for real-time object detection on resource-constrained devices like the Raspberry Pi. The project involved model quantization and optimization for the ARM architecture.
Technologies Used:
Customer Churn Prediction Model
Designed and deployed a classification model using Scikit-learn and XGBoost to predict customer churn for a subscription-based service, achieving over 90% accuracy.