## Inspiration

When we picture the world of tomorrow, we see a world where environmental accountability is an integral part of the culture. Hopefully, knowing the environmental impact of every product and service we use will become the norm.

Today, we're all painfully aware of the monetary cost of our activities, from buying a new phone to doing the groceries. Carbon provides a way for us to become aware of the environmental cost of those activities.

## What it does

Carbon is a framework for tracking the environmental cost of transactions in an economy. It introduces a new currency, carbon, that’s traded alongside regular money.

carbon is indexed to a real environmental metric, such as volume of carbon dioxide emissions.

carbon starts with companies in primary industries that directly cause emissions. A company's emissions are monitored by a third party. Then, the company takes on environmental liability in the form of an amount of carbon proportional to its emissions.

All companies, be they producers, manufacturers, or vendors, must break even financially. In terms of Carbon, companies must be carbon neutral. They get rid of their environmental liability by setting a carbon cost to each product they sell. When a company or a consumer buys a product, the seller transfers the carbon cost to the buyer, passing on the environmental liability.

End users only accumulate Carbon: this makes sense, since our current economy is environmentally unsustainable.

By tracing the carbon cost of products through the economy, the need to perform expensive, in-depth environmental impact analyses is avoided, since carbon cost naturally reflects the environmental cost of each product.

## Applications

Using Carbon, vendors can display the real environmental cost of the products they sell, equipping buyers with the information they need to make more ecological choices.

It doesn't stop there. Carbon offers a useful metric for tracking environmental liability throughout an entire economy, giving researchers a valuable tool for assessing environmental impact.

The possibilities are endless.

## How we built it

We built the server with a MongoDB Atlas database and an REST API created in Node.js and Express.js. The user client was a website created in ASP.NET, utilizing the .NET framework and C#.

## Challenges we ran into

We had issues with token authentication initially, and creating a website client (as none of us previously did web development). Thankfully, all those challenges were taken care of! Unfortunately, that was at the cost of sleep :(

## Accomplishments that we're proud of

We're proud of the fact that we learned how to create a website from start to finish without any prior experience, setting up a MongoDB database without prior experience, and creating a secure REST API.

## What we learned

* Learned how to use HTML/CSS to create a frontend
* Successfully built an ASP.NET application for the first time
* How to use MongoDB to create a database
* Sleep is a commodity that we couldn't afford :(

## What's next for Carbon

* Additional security features for transactions
* QR code labels for products, so consumers can check product sustainability for in-store products as well
## Inspiration

Based on CDC’s second nutrition report, nutritional deficiency affects less than 10 percent of the American population. However, in some ethic or age groups, more than one third of the population group suffer nutritional deficiency. The lack of certain nutrients could lower one’s quality of life, and even lead to fatal illness.

## What it does

To start off, a user could simply use an email address and set a password to create a new account. After registering, the user may log in to the website, and access more functions.
After login, the user can view the dashboard and record their daily meal. The left section allows the user to record each food intake and measures the nutrients in each portion of the food. The user can add multiple times if one consumes one than one food. All entries in a day will be saved in this section, and the user may review the entry history.
On the right side, the user's daily nutrients intake will be analyzed and presented as a pie chart. A calorie count and percentage of nutrients will appear on the top left of the pie chart, providing health-related info. The user may know about their nutrient intake information through this section of the dashboard.
Finally, we have a user profile page, allowing the user to store and change personal information. In this section, the user can update health-related information, such as height, weight, and ages. By providing this information, the system may give a better measure of the user, and provide more accurate advice.

## How we built it

We constructed a Firebase Realtime Database which is used to store user data. As for the front-end side, our team used React with CSS and HTML to build a website. We also used Figma for UI design and prototyping. As a team, we collaborate by using Github and we use Git as our version control tool.

## Challenges we ran into

One of the major challenges that we have is to assemble the project using react, which caused a technical issues for everyone. Since everyone was working on an individual laptop, sometimes there will be conflicts between each commit. For example, someone may build a section differently from another, which causes a crash in the program.

## Accomplishments that we're proud of

Even though our project is not as complete as we had hoped, we are proud of what we accomplished. We built something in an attempt to raise awareness of health issues and we will continue with this project.

## What we learned

Before we basically had no experience with a full-stack web application. Although this project is not technically full-stack, we learned a lot. Some of our teammates learned to use react, while others learned to use a NoSQL Database like Firebase Realtime Database.

## What's next for N-Tri

By collecting user's information, such as height, weight, and ages, we can personalize their nutrition plan, and provide better services. In addition, we will have a recipe recommendation section for everyone, in order for people to have a better daily meal plan. In addition, we would like to add create a more robust UI/UX design.
## Overview

Crop diseases pose a significant threat to global food security, especially in regions lacking proper infrastructure for rapid disease identification. To address this challenge, we present a web application that leverages the widespread adoption of smartphones and cutting-edge transfer learning models. Our solution aims to streamline the process of crop disease diagnosis, providing users with insights into disease types, suitable treatments, and preventive measures.

## Key Features

* **Disease Detection:** Our web app employs advanced transfer learning models to accurately identify the type of disease affecting plants. Users can upload images of afflicted plants for real-time diagnosis.
* **Treatment Recommendations:** Beyond disease identification, the app provides actionable insights by recommending suitable treatments for the detected diseases. This feature aids farmers and agricultural practitioners in promptly addressing plant health issues.
* **Prevention Suggestions:** The application doesn't stop at diagnosis; it also offers preventive measures to curb the spread of diseases. Users receive valuable suggestions on maintaining plant health and preventing future infections.
* **Generative AI Interaction:** To enhance user experience, we've integrated generative AI capabilities for handling additional questions users may have about their plants. This interactive feature provides users with insightful information and guidance.

## How it Works ?

* **Image Upload:** Users upload images of plant specimens showing signs of disease through the web interface.
* **Transfer Learning Model:** The uploaded images undergo real-time analysis using advanced transfer learning model, enabling the accurate identification of diseases with the help of PlantID API.
* **Treatment and Prevention Recommendations:** Once the disease is identified, the web app provides detailed information on suitable treatments and preventive measures, empowering users with actionable insights.
* **Generative AI Interaction:** Users can engage with generative AI to seek additional information, ask questions, or gain knowledge about plant care beyond disease diagnosis.