# IMPORTANT: Competition Moving to a New Location – Action Required!
Dear Participants,

We want to inform you about an important change regarding the **Artificial Intelligence in Respiratory Sounds** Competition. Due to Kaggle’s recent feature enhancement, community competitions are now allowed to host cash prizes. To leverage this new opportunity and offer you an improved experience, we will be shifting the competition to a new official location.

### What’s Changing?
Current Competition Link: [Current](https://www.kaggle.com/competitions/artificial-intelligence-in-respiratory-sounds/)
New Official Competition Link: [New](https://www.kaggle.com/competitions/airs-ai-in-respiratory-sounds)
The current competition page will remain open for 7 more days, until 2nd November2024, after which it will be permanently closed. We highly encourage you to transition to the new competition link as soon as possible to continue participating and be eligible for cash prizes. For further inquiry please look at the discussion post


In this competition, we challenge you to push the boundaries of machine learning in healthcare. With a small but crucial dataset, your task is to predict medical outcomes with high accuracy. Can you devise innovative solutions to tackle limited data in this high-stakes domain?

With the onset of COVID-19. A lot of innovation took place along with remote diagnosis technologies. The possibility of using cough sound for diagnosis and screening of covid was proposed and provided promising results for diagnosis. However the research was limited to just COVID and subsequent efforts for other respiratory disease was not done. This research intends to address the same challenge. Other diseases like Asthma, ILD etc can also be detected using human generated sounds and demographic and physiological information. 

The information provided in this competition include these sounds, vector embeddings for these sounds created using a self supervised model and information of the person. The names of the diseases and information of people are not revealed for confidentiality and ethical considerations to prevent misuse of diagnosis in case of poor detection. 

**Goal:** To differentiate diseased individuals from healthy and chronic respiratory diseases of individuals using respiratory sounds.