Personal Projects

MicroImage Library

• Created an on-device image processing library for microcontrollers in C++.
• The library can apply sobel, prewitt, and average filter on grayscale images. Link

Mosaic Generator using K-Means Clustering

• Created a framework to generate mosaic images using K-means clustering using numpy in python. Link

Motor Classification from EEG Dataset

• Applied the technique of knowledge distillation to train a student shallow CNN from a teacher CNN – BiLSTM network for electroencephalography 4 class motor classification using PyTorch.
• Teacher network achieved test accuracy of 51% and student network achieved test accuracy of 33%. Link

Covid Time Series Prediction

• Explored XGBoost, LSTM, BiLSTM, and ARIMA for COVID prediction time series problem using PyTorch and scikit-learn.
• The best model had Mean Absolute Percentage Error of 2.269.

BioFaceNet-PyTorch

• Converted the original BioFaceNet implementation from MATLAB to PyTorch.
• BioFaceNet is deep CNN that learns to decompose a single face image into melanin, haemoglobin, diffuse shading, specular shading, and albedo maps. Link

Contactless Heart Rate Monitor

• Reimplemented research paper for contactless heart rate monitor
• Image processing, ICA, Fourier Transformation, and band-pass filtering were performed on the user’s face to measure pulse using the principle of photoplethysmography with an error rate of ± 10 bpm under adequate lighting conditions using OpenCV and Scikit-learn. Link

Kaggle Prostate Cancer Detection

• Trained an ensemble model of EfficientNets – B0 and B1 – on GPU to label biopsy slides with the ISUP grading system using PyTorch with a test accuracy of 0.87 quadratic weighted kappa.

File Encryption using Face Recognition

• Designed and developed face recognition programs to encrypt and decrypt files using OpenCV and Scikit-learn.
• Used ResNet 10 SSD architecture to detect faces, FaceNet architecture to create 128D embeddings for each user from a sparse dataset of 5-6 images, and SVM for classification. Link

Transfer Learning using DeepMimic

• Used DeepMimic to transfer learn different gaits of a humanoid for the ECE 239AS: Introduction to Reinforcement Learning class project.
• Investigated the convergence of training networks from scratch and finetuning pretrained models. Link

Numpy Deep Learning Framework

• Completed ECE C147 assignments to build a deep learning framework from scratch using numpy.

LED Lighting System

• Build a lighting system for my dorm room controlled using IR from my phone.
• Programmed Arduino Uno board in C++.

Line-following Robot

• Built a line following car using TI microcontroller for ECE 3: Introduction to Electrical Engineering class project
• Implemented PID control in C++. Link