PillBuddy

Inspiration

One of our team members worked as a pharmacy technician and brought up her personal experiences interacting with patients. She found that a small but significant portion of elderly patients (especially those that were taking multiple different medications) would have issues finding the medication’s information (prescription number, name, use) and mostly rely on visual descriptions of the pill. Most patients were not very technologically savvy and would not go beyond a phone call for their medications, which normally takes pharmacists to carry out lengthy manual searches to pin down the medications they talked about. In light of this, we came out with an idea which uses AI technology to help quickly shortlist the potential pills that patients were describing.

What it does

Helps elderly patients identify their medications through simple voice and/or text inputs.
Assists pharmacy staffs, pharmacy techs, and pharmacists shortlist the pills patient was talking about.

How we built it

Using the DAIN platform, Typescript Language, Github for coding collaboration.

Challenges we ran into

Finding a meaningful problem to work on
Quickly learn AI development and DAIN platform from scratch
Define the scope of project based on limited time and resources

Accomplishments that we're proud of

Successfully pinpointed a valuable pain point and pull it out.
Great efficiency thanks to DAIN.
Amazing teammates and smooth collaboration process.
Last but not least, We built a meaningful & working AI product within only one day!!!!

What we learned

Utilizing product management to build a product efficiently within the constraints given
How to use DAIN
How to code with Typescript
Communication skills
How to build a first AI product

What's next for PillBuddy

PillBuddies are going to catch on some sleep immediately.
Further explore pain points on both senior patients and pharmacy ends.
Develop new features including but not limited to pill image recognition, pharmacy confirmation platform, payment functionality and delivery.
Integrate with pharmacy databases to help customize search experiences.