Max LAIF

screenshot of the app

Inspiration

Poor time management and planning is the main thing that reduces people’s productivity”. These were my words to my friend and team member on the first night of the hackathon. This was not a claim from a research article online, but an honest confession of what seemed obvious from regular peer-to-peer interactions.

Despite not knowing exactly how to make a “big/mind-blowing” solution to this problem, we saw that this was a real problem.

One of the most important prerequisites for planning or management of any sort is discipline, and one may easily say “people are just not disciplined enough”. However, an honest review also helps me admit that one of the biggest scare points from these has been the imminent difficulty.

Maybe by making the process of life planning and time management a bit easier, someone, some people, or some generation may be encouraged to take a bold step towards this noble task. The noble task of proper life management that sets us on course to living our “best life” or better still our “max life”. This is what we hoped to achieve with “MAX-LAIF” (with a little switch of letters just to help our users understand that we’ll achieve this using AI).

What it does

Google calendar integration with an LLM. The app exposes a chat and calendar interface allowing a user to brainstorm productivity goals with the LLM and creating reminders/events directly from the chat. The events and reminders created persist through the user's Google Calendar so they have access to it even on their mobile devices.

How we built it

Used Gemini function calling with the GCal. Function calling was the real breakthrough. It was the reall "fuzzy to non-fuzzy" adapter.

Challenges we ran into: We encountered various challenges along the way, but one of the major challenges was in coming up with the best prompts for the desired effects. Function calling was the main issue

Accomplishments that we're proud of

We are proud of seeing Max LAIF come to life. Building the whole interface with AI integrations and seeing the inference happen with little tweaks here and there was very nice

What we learned

We learned how to approach real world problems. Some of us were building websites for the very first time. This was a hackathon of many firsts and we learnt a lot about the Google and Cohere API