Problem Statement's

For the problem statements we have selected few domains that are mentioned below . Here are few examples also how the problem statement should be . All of you can choose any problem statement from any domains mentioned .
It is not mandatory to choose only these problem statement that are provided these are just for example purpose but domains must be selected as a problem statement only from the given document

1.Health Care :

Some of its examples are:

• COVID-19 Open Research Dataset (CORD-19): A dataset of scholarly articles related to COVID-19 and related viruses.


• Diabetic Retinopathy Detection: A dataset of retinal images to detect diabetic retinopathy using deep learning.


• Breast Cancer Wisconsin (Diagnostic) Data Set: A dataset of breast cancer diagnosis results.


• Heart Disease UCI: A dataset of heart disease diagnosis data.

2.FinTech :

Some of its examples are:

• Bitcoin Historical Data: A dataset of historical bitcoin price data.


• Lending Club Loan Data: A dataset of historical loan data from Lending Club.


• New York Stock Exchange (NYSE) Data: A dataset of historical stock market data for various publicly-traded companies.


• Credit Card Fraud Detection: A dataset of credit card transactions labeled as fraudulent or non-fraudulent.

3. AgroTech:

Some of its examples are:

• Global Wheat Detection: A dataset of wheat head detection using object detection techniques.


• Open Food Facts: A dataset of food products and their nutrient information.


• Fruits 360: A dataset of fruit images to classify fruit types using deep learning.


• Plant Seedlings Classification: A dataset of plant seedling images to classify plant species using deep learning.

4. Fitness & Sports:

• NFL Play-by-Play Data: A dataset of NFL play-by-play data from the 2009-2019 seasons.


• FIFA 19 Complete Player Dataset: A dataset of FIFA 19 player statistics.


• NBA Players Stats: A dataset of NBA player statistics from the 1950s to 2017.


• Fitbit Fitness Tracker Data: A dataset of fitness tracking data from Fitbit devices.

5. Blockchain :

Some of its examples are:

• Bitcoin Historical Data: A dataset of historical bitcoin price data.


• Cryptocurrency Historical Prices: A dataset of historical prices for various cryptocurrencies.


• Blockchain ETL: A dataset of blockchain transactions from various cryptocurrencies.


• ICO ROI: A dataset of initial coin offering (ICO) returns on investment.

6. Gaming & Entertainment:

Some of its examples are:

• Steam Video Game Sales Data: A dataset of video game sales data from the Steam platform.


• Twitch Dataset: A dataset of streaming data from the Twitch platform.


• Video Game Sales Data: A dataset of video game sales data from various platforms.


• MovieLens: A dataset of movie ratings and recommendations.

7. Education:

Some of its examples are:

• Open University Learning Analytics Dataset: A dataset of student interactions with Open University online courses.


• Student Performance Data Set: A dataset of student performance in secondary education in Portugal.


• Kaggle Competitions Data: A dataset of competition data from Kaggle, a platform for data science competitions.


• College Scorecard Data: A dataset of college and university information in the United States.

8. Social Impact:

Some of its examples are:

• Humanitarian Data Exchange (HDX) Data: A dataset of humanitarian data related to crises and disasters around the world.


• Refugees and Asylum Seekers Data: A dataset of global refugee and asylum seeker data.


• Global Terrorism Database: A dataset of terrorist attacks around the world.


• World Bank Data: A dataset of socio-economic indicators for various countries.

9. Sustainability:

Some of its examples are:

• Global Power Plant Database: A dataset of power plants and their energy generation capacities around the world.


• Climate Change: Earth Surface Temperature Data: A dataset of global surface temperature data.


• Global Forest Change: A dataset of forest cover change data from around the world.


• World Food Facts: A dataset of food product information and their impact on the environment.