Identifying Trade Trends in Greek Pottery
Using KModes clustering, silhouette analysis, and fuzzy string matching to unveil the spread and evolution of different pottery styles in ancient Greece.
Using KModes clustering, silhouette analysis, and fuzzy string matching to unveil the spread and evolution of different pottery styles in ancient Greece.
Using Apriori association rule mining algorithm on Digital Archive for Grave Goods in Later Prehistoric Britain to identify frequently buried together items
Building a Random Forest Classifier with class weight adjustment to handle skewness to predict the time period to which South African Radio Carbon dated artefacts belong.
Using techniques such as named entity recognition, apriori algorithm and sentiment analysis to convert text script to attributes to predict TV series ratings using Ensemble Learning (Gradient and AdaBoost stacked model).
A Recurrent Neural Network (RNN) based three-stage architecture for end to end music generation.
Using convolutional neural networks and Morlet wavelet transform to analyze EEG data to detect Schizophrenia in adolescents.
Using computer vision algorithms to detect Heart Rate, SpO2, and Blood Pressure from video feed.
K-means clustering based recommendation system to get moving recommendations based on neighborhood data.
A voice-assistant service in Python 3.7+ that understands speech, executes commands, and delivers an efficient and personalized user experience.
Applying machine learning based WBAN transmission protocols to reduce agriculture water consumption by approximately 38% (in simulation).
Django web application to raise awareness about attack vectors in the Indian cyber space through a hackable interface. Developed during internship with India’s Ministry of Electronics and Information Technology.