## Inspiration

As programmers, we collectively realized how much we disliked the process of creating a pitch site/landing page to explain our project - it took away precious time from working on the actual product! We recognized our shared need for a quick landing page solution, which would sum up the basics of our project, idea, and solution for any viewer to understand.

## What it does

MyLandingPage creates a landing page site for an emerging project within seconds. Based on an elevator pitch of a project, MyLandingPage uses Cohere's large language model to generate informative copy for the website (the headline, product description, benefits/solutions, and a call to action).

## How we built it

We used MongoDB, Express, React, Node, Typescript, Cohere, Google Cloud Platform, CICD, and AppEngine in order to create our final product.

## Challenges we ran into

We struggled to think of an idea early on in our coding process. We initially wanted to create a texting device with vision-tracking glasses, or use NLP to summarize complex textbooks into simpler text, and didn't come up with our final idea until Saturday morning. We also struggled to delegate all aspects of the project among our team members, and manage our time efficiently in order to get everything before the due date. However, we got better at settling on our main idea/problem statement and figured out how to allocate roles efficiently between the four team members.

## Accomplishments that we're proud of

* Finishing a prototype for demo day.
* Starting off our coding by defining the problem and empathizing with our users, rather than starting off with the software product.
* Being able to whip together a successful NLP model in such a short amount of time.
* Successfully creating a clean user interface for the prototype.

## What we learned

It's important to have a plan early on in the development process: not just for our project itself, but for who is ultimately responsible for which aspect of the project, and how long we want to allocate to each aspect of the project. It's also a good idea to refer back to our team members' areas of expertise when we're trying to create a project in such a short period of time (e.g. one of our members has past experience working with NLP text generation, so we should have recognized this as a competitive advantage within our project earlier)!

## What's next for MyLandingPage

1. The option to customize the landing page by making edits/additions to the text and images, altering the placement of elements on the website, etc.
2. Giving users the option to personalize their domain, allowing for the sharability of the site.
3. A slideshow/pitch deck generation as an add-on to our landing site generation, to allow hackers + entrepreneurs to easily pitch to entrepreneurs.
## Where we got the spark?

**No one is born without talents**.
We all get this situation in our childhood, No one gets a chance to reveal their skills and gets guided for their ideas. Some skills are buried without proper guidance, we don't even have mates to talk about it and develop our skills in the respective field. Even in college if we are starters we have trouble in implementation. So we started working for a solution to help others who found themselves in this same crisis.

## How it works?

**Connect with neuron of your same kind**
From the problem faced we are bridging all bloomers on respective fields to experts, people in same field who need a team mate (or) a friend to develop the idea along. They can become aware of source needed to develop themselves in that field by the guidance of experts and also experienced professors.
We can also connect with people all over globe using language translator, this makes us feels everyone feel native.

## How we built it

**1.Problem analysis:**
We ran through all problems all over the globe in the field of education and came across several problems and we chose a problem that gives solution for several problems.
**2.Idea Development:**
We started to examine the problems and lack of features and solution for topic we chose and solved all queries as much as possible and developed it as much as we can.
**3.Prototype development:**
We developed a working prototype and got a good experience developing it.

## Challenges we ran into

Our plan is to get our application to every bloomers and expertise, but what will make them to join in our community. It will be hard to convince them that our application will help them to learn new things.

## Accomplishments that we're proud of

The jobs which are currently popular may or may not be popular after 10 years. Our World will always looks for a better version of our current version . We are satisfied that our idea will help 100's of children like us who don't even know about the new things in todays new world. Our application may help them to know the things earlier than usual. Which may help them to lead a path in their interest. We are proud that we are part of their development.

## What we learned

We learnt that many people are suffering from lack of help for their idea/project and we felt useless when we learnt this. So we planned to build an web application for them to help with their project/idea with experts and same kind of their own. So, **Guidance is important. No one is born pro**
We learnt how to make people understand new things based on the interest of study by guiding them through the path of their dream.

## What's next for EXPERTISE WITH

We're planning to advertise about our web application through all social medias and help all the people who are not able to get help for development their idea/project and implement from all over the world. to the world.
## Inspiration

Boring data analysis tasks should be handled by automated intelligence! Investment bankers, data analysts, anyone who uses Excel should be able to complete their tasks in a fraction of the speed!

## What it does

Takes in a Google Sheets shared link with Anyone with the link can view, creates a copy, then performs instructions and completes tasks on the copy with the user able to follow along.

## How we built it

We used Next.js to deploy the frontend, with a Modal backend connecting to GPT

## Challenges we ran into

-GPT hallucinations and inability to write/format JSON data.
-Data streaming

## Accomplishments that we're proud of

-Agent's ability to create charts
-Agent's ability to parse natural language into executable instructions
-Agent's ability to handle complex Sheets

## What we learned

Agent creation and accuracy

## What's next for freak in the sheets

Handling more complex instructions, tasks, high-level tasks that anyone who wants to use Google Sheets with can complete! Also a better UI and better performance!