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AIHacks4Good

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FacialRecognitionForAll
FacialRecognitionForAll

With a recent study on facial recognition AI having a higher error rate on people with a darker skin tone, our team sought to improve this by enhancing photos for models to better detect faces.

Winner Winner
Justin Tan Duncan Jiang seancze Chen
4 0
AI and Recidivism
AI and Recidivism

Counterfactual fairness of AI classification algorithms on recidivism.

Winner Winner
Julia Wang Ryan Chen Vishnu Akundi Jack Kaunismaa
1 0
Forgetful Beacon
Forgetful Beacon

Forgetful Beacon helps locate people with dissociative amnesia, while safeguarding personal information. Facial recognition is used to identify a person and send an alert to their emergency contact.

Winner Winner
Sara Mandujano Velazquez Jorge Peralta Fernando Moreno Gomez
3 0
CuraVue
CuraVue

Bring awareness to breast cancer

Winner Winner
Ishwarya Sundhararajan Aarjav Jain pruthviraj jadhav 31 Lakshay
2 0
Police education
Police education

Using NYC Police Complaints Data, we were able to use AI to determine two things. First, the complaints rate and that as the years go on. Second, the processing time to deal with complaint goes up.

Winner Winner
Monique Reed John Lu Emma Ho Hannah Pan
0 0
Drunk Detector
Drunk Detector

Using facial recognition AI, we can detect drunkenness using a score based on drunk symptoms. Inherent facial traits that may swing "drunk" or "not drunk" will add or subtract to the "drunk score".

Winner Winner
Athena Goodale Max Mastali Calvin Liu Carl Lerdorf
3 0
Using DB-VAE's in Facial Recognition
Using DB-VAE's in Facial Recognition

Using a DB-VAE, we was able to reduce any bias a classifier would have. This classifier will be able to tell you whether or not you are human using the distribution of the latent space.

Joshua Cole Anirudh A Jonathan Doredla Shashank Chidige
2 0
BiasBuster
BiasBuster

To solve biases in healthcare data...

Rishin Madan Jia Jie Huang Suryansh Mehta
0 1
AI Data Usage In The Justice System
AI Data Usage In The Justice System

The project tackles the issues of differentiation regarding discrimination and the unbiased nature of delivering justice based on race and sex.

ENIOLA OLAWUNMI Akshay Krishnan + 1
2 0
Only Believe What You Know
Only Believe What You Know

Mitigating Bias in Pre-trained Facial Recognition Systems with Ensembles using Virtual Outlier Synthesis

Thomas Lin Minghao Li Logan Wang
2 0
SightNeX
SightNeX

Shows you what you want to see 👁️

Rashmi Rawat Pratyay Banerjee Hardik Agarwal
0 0
Prediction the Onset of Diabetes
Prediction the Onset of Diabetes

Let’s Dia-Beat This!

ADITHYA NAIR Adithya Krishna Athul Gireesh
2 0
Segregating Biased Data in Healthcare Datasets using MATLAB
Segregating Biased Data in Healthcare Datasets using MATLAB

We attempt to detect & display bias in datasets using MATLAB. Our prospects extend to using an embedded C++ file and having a webpage that allows users to test the quality of their data.

Uday Vamsidhar Volety PRADNYA GHALSASI (RA2011009010041) Vijay Velpuri SIVANI RAMACHANDRAN
0 0
Mental Health Predictor
Mental Health Predictor

The Mental Health Predictor is a machine learning tool that analyzes symptoms to predict mental health.

Sayanthika Rajesh A P  Krishna Shreerag Nair Ashwin Sabu
4 1
Crime Watch
Crime Watch

A machine learning model that predicts if an individual is accurately convicted

thebadone231 Haoli Chuan Kai Ong Zheng Xi Eu
0 0
Upahith
Upahith

To help dyslexic kids on their learning arc and improve their skills with the help of deep learning based web application.

Rohith ND Mukesh Kumar Vignesh kumar Sudiptha Athmaraman
0 0
Debiasing Dataset Features for Crime Prediction
Debiasing Dataset Features for Crime Prediction

We analyze the current bias in arrest data and investigate using economical data as an alternative feature point for effective crime prediction.

gaurav sharma Shruthi Hariharan Shikher Srivastava + 1
0 0

1 – 17 of 17

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