## Inspiration

We aimed to tackle the overwhelming volume of emails by creating a quick, intuitive solution to streamline email management.

## What it does

Swipe.ly is an AI-powered app that summarizes emails and lets users swipe to manage them, providing a Tinder-like experience for the inbox.

## How we built it

We used a large language model (LLM) to analyze and summarize emails, then integrated this data into our application for easy interaction.

## Challenges we ran into

Integrating the large language model presented a range of challenges, from managing variable email formats and content to ensuring privacy and security of user data. We also faced hurdles in optimizing the model for fast, accurate summaries without overwhelming the app’s response time. Balancing the swipe functionality for a seamless user experience required extensive testing and fine-tuning to handle various inbox sizes and types of emails.

## Accomplishments that we're proud of

We successfully developed an interactive, user-friendly app that makes email management faster and more enjoyable.

## What we learned

Our team gained valuable experience in LLM integration, user experience design, and building responsive applications.

## What's next for Swipe.ly

We plan to enhance Swipe.ly with deeper personalization options, refine the AI for more accurate summaries, and integrate with additional email providers.
## Inspiration

There's so many fantastic project ideas out there, yet it's always difficult to find and connect with people who share your enthusiasm and interest in bringing your idea to life. We've all had times where we wanted to find the perfect people to work with and drawing inspiration from speed matching apps like Tinder, Our Idea came along.

## What it does

Our Idea allows users to "swipe left" or "swipe right" on innovative ideas submitted by other users. You can match with teams, chat with them in real-time immediately on your 💯ideas, and create connections for life!

## How we built it

We prototyped everything in Figma first! Always 🤠

We played around with React and Material UI on the front-end and agonized over pure CSS.

We also employed the swiss army knife of hackathons–🔥Firebase 🔥–and its multiple functionalities (Firestore, Firebase Authentication, FireChat!!!)

## Challenges we ran into

As it was our first time using Firebase, we had a lot of fun with it. However, it also brought a few problems! Just mere hours before submission, we reached our usage limit and it was a race to finish.

## Accomplishments that we're proud of

Our Idea is a labor of love and we learned so much doing it. There were a lot of tired Discord calls, LiveShare trouble, moments of panicked silence and muted mics, but we're so proud of the project and its potential to connect individuals on the basis of good ideas–just like this hackathon has!

## What's next for Our Idea

* Filtering on ideas!
* Superlikes??? 👀
## Inspiration

The inspiration for Nova came from the overwhelming volume of emails and tasks that professionals face daily. We aimed to create a solution that simplifies task management and reduces cognitive load, allowing users to focus on what truly matters.

## What it does

Nova is an automated email assistant that intelligently processes incoming emails, identifies actionable items, and seamlessly adds them to your calendar. It also sends timely text reminders, ensuring you stay organized and on top of your commitments without the hassle of manual tracking.

## How we built it

We built Nova using natural language processing algorithms to analyze email content and extract relevant tasks. By integrating with calendar APIs and SMS services, we created a smooth workflow that automates task management and communication, making it easy for users to manage their schedules.

## Challenges we ran into

One of the main challenges was accurately interpreting the context of emails to distinguish between urgent tasks and general information. Additionally, ensuring seamless integration with various calendar platforms and messaging services required extensive testing and refinement.

## Accomplishments that we're proud of

We are proud of developing a fully functional prototype of Nova that effectively reduces users' daily load by automating task management. Initial user feedback has been overwhelmingly positive, highlighting the assistant's ability to streamline workflows and enhance productivity.

## What we learned

Throughout the development process, we learned the importance of user feedback in refining our algorithms and improving the overall user experience. We also gained insights into the complexities of integrating multiple services to create a cohesive solution.

## What's next for Nova

Moving forward, we plan to enhance Nova's capabilities by incorporating machine learning to improve task recognition and prioritization. Our goal is to expand its features and ultimately launch it as a comprehensive productivity tool that transforms how users manage their daily tasks.