STUDENT PROJECTS

STUDENT PROJECTS

150+

HOURS OF STUDENT/MENTOR SESSIONS

100+

PROJECT SUBMISSIONS

7+

AREAS COVERED

150+

HOURS OF STUDENT/MENTOR SESSIONS

100+

PROJECT SUBMISSIONS

7+

AREAS COVERED

HEALTHCARE

An Interpretable Framework for single nucleotide polymorphism-based Amyotrophic Lateral Sclerosis risk prediction through supervised Machine Learning by Shaila Malkani, AI Fellowhsip, Fall Cohort 2021

U-Net Based Multi-Output  Network for Lung Disease Segmentation and Classification Using Chest X-Ray Dataset by Jaiden Schraut, AI Fellowship, Summer Cohort, 2022

Exploratory Data Analysis: OSMH Mental Health in Tech Survey (2016) by Aashirya Rai

Proposal: Predicting Breast  Cancer from Genes by Kyle Wang, Combination (AI Scholars+Fellowship), Summer Cohort 2022

Proposal: Creating a uniform method for diagnosing early   stage Parkinson’s Disease by Anika Doddamane, AI Fellowship, Summer Cohort, 2022

Proposal: Creating a model capable of classifying the origin  of blood clots from .tif image files by Alexandre Sauquet, Combination (AI Scholars+Fellowship), Summer, 2022

Proposal: To create a tool that uses segmentation to analyse Neuromuscular Systems by Veer Agarwal, AI Fellowship, Summer Cohort, 2022

Proposal: Predicting diabetes patients’ chances of re-admission using random forest and deep learning models by Lejun Deng, Combination (AI Scholars+Fellowship), Summer Cohort, 2022

FINANCE

Detection of pump and dump in a micro-cap stock using an LSTM network by Valmik Vyas, AI Fellowship, Winter Cohort 2021

SOCIAL SCIENCES

Custom Educational Resource Suggestion Software Proposal by Aditi Sethi, AI Fellowship, Winter Cohort 2021

Predictive Models of Student College Decision Using Machine Learning by Kartik Makhija, AI Fellowship, Winter Cohort 2021

Proposal: Creation of a tool (CrossWalk) to aid individuals with impaired vision in crossing the road by Ege Topkoc, AI Fellowship, Summer Cohort, 2022.

MUSIC

Predictive Models of Student College Decision Using Machine Learning by Ritam Saha, AI Fellowship, Fall Cohort, 2021.

GAMING

Analysis of Startcraft 2 Replays to predict features impacting the League Index by Sweeny Han, AI Fellowship, Summer Cohort, 2022

Proposal: Comparing and evaluating the decision making process of humans and a reinforcement learning agent in Texas Hold’em Poker by Joon Seok Kang, Combination (AI Scholars+Fellowship), Summer Cohort 2022

APPLICATIONS FOR DEEP LEARNING

Proposal: Efficient Natural Language Processing Deep Neural Network Design by Sandrene Sy, AI Fellowship, Summer Cohort 2022

ENVIRONMENT

Proposal: Using AI to Identify Marine Debris by Victoria Wahlig, AI Fellowship, Summer Cohort, 2022

Detecting Tweets Relating to Disasters Using Natural Language Processing by Mert Iren, AI Fellowship, Summer Cohort 2022

Classifying Hazardous and Non-Hazardous Asteroids Using Machine Learning by Trotter McLemore, AI Fellowship, Summer Cohort, 2022

Proposal: Hourly Short-range Forecasting and Prediction of Extreme Events by Mira Nuthakki, Combination (AI Scholars+Fellowship), Summer Cohort, 2022

HEALTHCARE

An Interpretable Framework for single nucleotide polymorphism-based Amyotrophic Lateral Sclerosis risk prediction through supervised Machine Learning

by Shaila Malkani, Fall Cohort 2021

U-Net Based Multi-Output Network for Lung Disease Segmentation and Classification Using Chest X-Ray Dataset

by Jaiden Schraut, Summer Cohort 2022


Predicting Breast Cancer from Genes

by Kyle Wang, Summer Cohort 2022


Creating a uniform method for diagnosing early stage Parkinson’s Disease

by Anika Doddamane, Summer Cohort 2022

Creating a model capable of classifying the origin of blood clots from .tif image files

by Alexandre Sauquet, Summer Cohort 2022

To create a tool that uses segmentation to analyse Neuromuscular Systems

by Veer Agarwal, Summer Cohort 2022

Predicting diabetes patients’ chances of re-admission using random forest and deep learning models

by Lejun Deng, Summer Cohort 2022

FINANCE

Detection of pump and dump in a micro-cap stock using an LSTM network

by Valmik Vyas, Winter Cohort 2021

SOCIAL SCIENCES

Custom Educational Resource Suggestion Software Proposal

by Aditi Sethi, Winter Cohort 2021

Predictive Models of Student College Decision Using Machine Learning

by Kartik Makhija, Winter Cohort 2021

Creation of a tool (CrossWalk) to aid individuals with impaired vision in crossing the road

by Ege Topkoc, Summer Cohort 2022

Genre Classification Based on Audio Waveform of Music

by Ritam Saha, Fall Cohort 2021

GAMING

Analysis of Startcraft 2 Replays to predict features impacting the League Index

by Sweeny Han, Summer Cohort 2022

Comparing and evaluating the decision making process of humans and a reinforcement learning agent in Texas Hold’em Poker

by Joon Seok Kang, Summer Cohort 2022

APPLICATIONS FOR DEEP LEARNING

Efficient Natural Language Processing Deep Neural Network Design

by Sandrene Sy, Summer Cohort 2022

ENVIRONMENT

Using AI to Identify Marine Debris

by Victoria Wahlig, Summer Cohort, 2022

Detecting Tweets Relating to Disasters Using Natural Language Processing

by Mert Iren, Summer Cohort 2022

Classifying Hazardous and Non-Hazardous Asteroids Using Machine Learning

by Trotter McLemore, Summer Cohort 2022

Hourly Short-range Forecasting and Prediction of Extreme Events

by Mira Nuthakki, Summer Cohort 2022