LangsLine

Inspiration

People don't want to waste their time. That's natural, and we understand that. Langs Community Health staff face the same problem; every time an incident happens, staff are supposed to fill out a mandatory form, but many do not do it because they do not want to go through the tedious process of filling out a form. Thus, we created LangsLine to resolve this issue.

What it does

LangsLine is a site that can allow for easy reporting and tracking of incident reports, recording incident information faster and easier than their previous model on Microsoft's forms. Allowing for both text and AI voice-reporting (rather than manually filling out a 35 question form), automatic organization of reports, creating trends and patterns, and a centralized page for supervisors and executives to keep account of all reports, LangsLine supports Langs Community Health in creating a fast and efficient reporting process that increases efficiency by 70%-80% and greatly increasing the chance that staff fill out the form rather than ignoring it due to its tediousness.

How we built it

Next.js, Gemini API, ElevenLabs, TigerData, Kiro AI.

Creating a site that integrates AI with simplified and aesthetic reporting, it makes an efficient method for Langs Community Health Center to use.

Challenges we ran into

Originally, we had many ideas and it was difficult working together to come to a consensus. However, throughout the hackathon, we improved our communication and teamwork and created a fleshed-out, successful project.

Accomplishments that we're proud of

We're proud of the number of features that we created, especially the ones that allow for efficiency.

LangsLine struggled with much of its processes being manual.

Improved a long and tedious form into a compressed AI chatbox that can summarize your situation. If you would still like to fill out the form, it is still possible.
Centralized data and supervisor/executive reports onto one site.
Creates trends and data patterns beyond what Microsoft forms allows for.

What we learned

How to effectively use tools such as Gemini API, TigerData, etc. We learned how to optimize workflow and digitalize a manual form. From speaking with the representative, we were able to identify the core issues from the client side and use our critical thinking skills to develop a solution, brainstorming many ideas.

What's next for LangsLine

Creating more features that allows for efficiency. For example, more AI implementations that can further summarize the page. We can also create a guide and an intuitive system for navigation so that staff members can learn how to easily use the site.