If you’re looking for some ideas for an upcoming hackathon… Then you’re at the right place!

The purpose of a hackathon is for a group of programmers to work together on a collaborative project. Most hackathons are competitions where several teams are competing to create prototypes that innovate on a theme or improve upon an existing project.

A hackathon can be a great chance to collaborate with others and make a real-world project. Although there are some limitations, still you can learn how to communicate with others and understand the overall workflow for releasing an actual product. And if you get a chance of being on the team with someone who knows a lot better than yourself in data science, I believe it’ll be such a great time to push your limits as well.

Here are 5 data science hackathon project ideas for beginners:

1. GPS Monitoring for Ambulances

What if an individual has an emergency, but an ambulance can’t reach them? If there’s no backup, an ambulance should know the best way to reach the patient. GPS monitoring can assist the ambulance while they’re on the field as well as the hospital tracking the ambulance’s location.

While on the road, the paramedics will navigate the best route to reach the patient, avoiding traffic and any other hindrances. At the hospital, medical staff can track the ambulance and can be prepared for when the patient arrives.

At the hackathon, you can create different ambulance GPS monitoring systems and find ways to improve existing systems.

2. Stock Market

The stock market is like candy-land for any data scientists who are even remotely interested in finance.

First, you have many types of data that you can choose from. You can find prices, fundamentals, global macroeconomic indicators, volatility indices, etc… the list goes on and on.

Second, the data can be very granular. You can easily get time-series data by day (or even minute) for each company, which allows you to think creatively about trading strategies.

Finally, financial markets generally have short feedback cycles. Therefore, you can quickly validate your predictions on new data.

3. Improve Health Care

Another industry that’s undergoing rapid changes thanks to machine learning is global health and health care.

In most countries, becoming a doctor requires many years of education. It’s a demanding field with long hours, high stakes, and an even higher barrier to entry.

As a result, there has recently been a significant effort to alleviate doctors’ workload and improve the overall efficiency of the health care system with the help of data science & machine learning.

Ideas:

  • Preventative care: Predicting disease outbreaks on both the individual and the community level.
  • Diagnostic care: Automatically classifying image data, such as scans, x-rays, etc.
  • Insurance: Adjusting insurance premiums based on publicly available risk factors.

4. Calculate credit score

Create a more complete, data-driven, real-time credit score software that considers a borrower’s financial and credit history from the beginning of time. Additionally, the software should also be equipped to consider bill payments, rent, utilities, subscriptions, and more.

The idea is to make the credit score software that can be used to qualify borrowers for credit and loans in real-time by taking into account all their financial history.

5. Course and university finder

Develop a code that allows students to search for all the necessary information pertaining to the universities they desire, the courses they wish to learn, the admission processes, teacher profiles, alumni information, career paths, employers have partnered with the universities, and more.

The code should have user-friendly filters to search for universities and courses based on a student’s needs and requirements.

Students should be able to chat with representatives of universities and should be able to submit applications and save bookmarks of their favorite universities and courses.

These are just a few basic ideas that could help you during your next hackathon.

The advantages of participating in a hackathon is that:

  • You get an opportunity to network
  • Add value to your resume
  • A great platform to create new concepts & ideas
    If you want to learn more about data science, participate in hackathons, work on projects, and more… Then you should consider checking out our Data Science Learning Path