Ashwiinii
Master's in Electrical Engineering, North Carolina State University. Data Scientist | Machine Learning Enthusiast. Head over to https://ashwiinii.github.io/
North Carolina State UniversityCupertino, California, USA
Pinned Repositories
Ashwiinii.github.io
Welcome to my portfolio! The website is up and running at https://ashwiinii.github.io/
audio-emotion-detection
Crop-Yield-Prediction
Machine learning (ML) models were engineered after processing agricultural data and Regression models were deployed to predict the yield of 4 major crops. The developed models were then compared with each other to obtain the best performing model.
Flight-Delay-Prediction
A two stage predictive machine learning engine that forecasts the on-time performance of commercial fights by predicting the delay is developed.
Hypothesis-Testing
image-blending
Seamlessly blending an area/region from a source(foreground) image into a target (background) image. This project develops functions to implement Gaussian/Laplacian pyramid.
MPPT-of-PV-Array-using-GWO
Grey Wolf Algorithm for MPP tracking in PV systems.
NeonatalSeizureDetection
Implementation of Neonatal Seizure Detection using EEG signals for deploying on edge devices including Raspberry Pi.
Single-View-Metrology
Given a 2-D image, 3D affine measurements are computed from a single perspective view of a scene using minimal geometric information of the 2-D image, as applied by Criminisi, Reid and Zisserman in “Single View Metrology”.
terrain-detection
Training a Bidirectional LSTM to classify different terrains from time series data.
Ashwiinii's Repositories
Ashwiinii/MPPT-of-PV-Array-using-GWO
Grey Wolf Algorithm for MPP tracking in PV systems.
Ashwiinii/image-blending
Seamlessly blending an area/region from a source(foreground) image into a target (background) image. This project develops functions to implement Gaussian/Laplacian pyramid.
Ashwiinii/Single-View-Metrology
Given a 2-D image, 3D affine measurements are computed from a single perspective view of a scene using minimal geometric information of the 2-D image, as applied by Criminisi, Reid and Zisserman in “Single View Metrology”.
Ashwiinii/terrain-detection
Training a Bidirectional LSTM to classify different terrains from time series data.
Ashwiinii/Ashwiinii.github.io
Welcome to my portfolio! The website is up and running at https://ashwiinii.github.io/
Ashwiinii/audio-emotion-detection
Ashwiinii/Crop-Yield-Prediction
Machine learning (ML) models were engineered after processing agricultural data and Regression models were deployed to predict the yield of 4 major crops. The developed models were then compared with each other to obtain the best performing model.
Ashwiinii/Flight-Delay-Prediction
A two stage predictive machine learning engine that forecasts the on-time performance of commercial fights by predicting the delay is developed.
Ashwiinii/Hypothesis-Testing
Ashwiinii/NeonatalSeizureDetection
Implementation of Neonatal Seizure Detection using EEG signals for deploying on edge devices including Raspberry Pi.
Ashwiinii/packet-sniffer
A packet-sniffer is implemented in Python that reads packets from the raw socket and categorizes them based on protocols, namely IP, TCP, UDP, DNS, ICMP, HTTP, HTTPS and QUIC.
Ashwiinii/pysigpro
Python package for processing currently ECG and EEG signals
Ashwiinii/Real-time-Stress-Monitoring-System
An automated and streamlined system for detecting stress in drivers through the development of a real-time stress monitoring pipeline that classifies ECG signals collected from a sensor, using an effective Deep Learning model based on the VGGNet architecture predict various stress levels.
Ashwiinii/SimSiam-Self-supervised-Image-Classification
This notebook is part of the ECE763 final course project focusing on self-supervised learning (SSL). The primary objectives are to implement two self-supervised contrastive learning methods and compare the representations learned via SSL with those from a supervised baseline.
Ashwiinii/spark-recommendation-system
Spark Collaborative Filtering using Alternating Least Squares (ALS) on MovieLens dataset.
Ashwiinii/Speech-Emotion-Detection
Ashwiinii/tcp-analysis
Dumbbell topology is created in ns-3 simulator and the performance of both TCP versions - CP Cubic and DCTCP in terms of throughput and average flow completion time is studied.