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63 changes: 0 additions & 63 deletions CFPwireframe.md

This file was deleted.

126 changes: 5 additions & 121 deletions README.md
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The AI Onboarding webApp aims to address the pressing issue of carbon footprint reduction through innovative technology. By leveraging autonomous small satellites (smallsats) for earth observation, this webApp provides users with personalized insights and recommendations to help them reduce their carbon footprint. The goal is to empower individuals and organizations to take actionable steps towards a more sustainable future.

## Project Structure

This project includes the following components:
1. **Wireframe Design**
2. **Prototype**
3. **Mockup Design**

## Wireframe Design

### Homepage
```
+-----------------------------+
| Homepage |
|-----------------------------|
| Headline |
| Introduction |
| [CTA Button] |
+-----------------------------+
```

### Onboarding Flow
```
+-----------------------------+
| Onboarding Flow |
|-----------------------------|
| Step 1: Introduction |
| Step 2: Features Overview |
| Step 3: Set Up Profile |
| [Start Using the App] |
+-----------------------------+
```

### Dashboard
```
+-----------------------------+
| Dashboard |
|-----------------------------|
| Carbon Footprint Overview |
| [Charts & Graphs] |
| Recommendations |
+-----------------------------+
```

### User Profile
```
+-----------------------------+
| User Profile |
|-----------------------------|
| Profile Info |
| Settings & Preferences |
| Social Media Connections |
+-----------------------------+
```

### Resource Center
```
+-----------------------------+
| Resource Center |
|-----------------------------|
| Articles & Videos |
| [Search & Filter] |
+-----------------------------+
```

### Community
```
+-----------------------------+
| Community |
|-----------------------------|
| Forums & Discussions |
| User Groups & Challenges |
+-----------------------------+
```

## Prototype

The interactive prototype can be found [here](https://aton4st.blogspot.com). It includes detailed mockups and user flows to illustrate the user experience and interactions.

## Mockup Design

### Homepage Mockup
![Homepage Mockup](https://github.com/aimtyaem/EOInfo/blob/ea27746647fb4cf297cf11372eb35207329a6180/1739718419%20(1).jpg)

### Onboarding Flow Mockup
![Onboarding Flow Mockup](#)

### Dashboard Mockup
![Dashboard Mockup](#)

### User Profile Mockup
![User Profile Mockup](#)

### Resource Center Mockup
![Resource Center Mockup](#)

### Community Mockup
![Community Mockup](#)

## Team Members

- **Project Manager**: Oversees project timelines, coordinates tasks, ensures communication, manages resources.
- **Frontend Developer**: Designs user interface, implements interactive elements, ensures responsive design.
- **Backend Developer**: Manages server-side logic, databases, API integration, ensures security.
- **AI Specialist**: Develops machine learning models, trains AI systems, integrates AI with the web app.
- **Data Scientist**: Collects and processes data, performs data analysis, ensures data accuracy.
- **UX/UI Designer**: Designs user-friendly interfaces, creates visual designs, conducts user testing.
- **Sustainability Expert**: Provides sustainability insights, suggests carbon reduction strategies, validates data.
- **Marketing Specialist**: Promotes the web app, engages with users, gathers feedback, manages social media.

## Getting Started

To get started with the development of this project, follow the steps below:
1. Clone the repository.
2. Install necessary dependencies.
3. Follow the wireframe and mockup designs to develop the frontend and backend components.
4. Integrate AI models and data processing modules.
5. Conduct user testing and gather feedback for improvements.

We hope this project inspires and empowers users to contribute to a sustainable future by reducing their carbon footprints with the help of advanced technology.

For more information, please contact aimt16@hotmail.com.
## Output
1. Dashboard reports.
2. Onboarding Flow (SGT).
3. Recommendations.

59 changes: 59 additions & 0 deletions cloud_carbon_report.md
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# Carbon Footprint Report for CloudTech Solutions

## Energy Cost Analysis
| Energy Source | Cost per Unit |
|---------------|-------------|
| electricity | $85.00 |
| natural_gas | $12.00 |
| fuel_oil | $0.75 |

## Cloud Infrastructure Profile
### AWS Region Emissions Factors
| Region | Emissions Factor (tCO2e) | Data Source |
|--------|--------------------------|-------------|
| us-east-1 | 0.000416 | EPA |
| us-east-2 | 0.000440 | EPA |
| us-west-1 | 0.000351 | EPA |
| us-west-2 | 0.000351 | EPA |
| us-gov-east-1 | 0.000416 | EPA |
| us-gov-west-1 | 0.000351 | EPA |
| af-south-1 | 0.000928 | carbonfootprint.com |
| ap-east-1 | 0.000810 | carbonfootprint.com |
| ap-south-1 | 0.000708 | carbonfootprint.com |
| ap-northeast-3 | 0.000506 | carbonfootprint.com |
| ap-northeast-2 | 0.000500 | carbonfootprint.com |
| ap-southeast-1 | 0.000409 | EMA Singapore |
| ap-southeast-2 | 0.000790 | carbonfootprint.com |
| ap-northeast-1 | 0.000506 | carbonfootprint.com |
| ca-central-1 | 0.000130 | carbonfootprint.com |
| cn-north-1 | 0.000555 | carbonfootprint.com |
| cn-northwest-1 | 0.000555 | carbonfootprint.com |
| eu-central-1 | 0.000338 | EEA |
| eu-west-1 | 0.000316 | EEA |
| eu-west-2 | 0.000228 | EEA |
| eu-south-1 | 0.000233 | EEA |
| eu-west-3 | 0.000052 | EEA |
| eu-north-1 | 0.000008 | EEA |
| me-south-1 | 0.000732 | carbonfootprint.com |
| sa-east-1 | 0.000074 | carbonfootprint.com |

### Server Architecture Efficiency
| Architecture | Power Consumption Range |
|--------------|--------------------------|
| Graviton | 0.47-1.69 W |
| Ivy Bridge | 3.04-8.25 W |
| Sandy Bridge | 2.17-8.58 W |
| Haswell | 1.90-6.01 W |
| Sky Lake | 0.64-4.19 W |
| Cascade Lake | 0.64-3.97 W |
| EPYC 2nd Gen | 0.47-1.69 W |
| Graviton2 | 0.47-1.69 W |
| Broadwell | 0.71-3.69 W |
| EPYC 1st Gen | 0.82-2.55 W |
| Coffee Lake | 1.14-5.42 W |

## Optimization Recommendations
1. **Region Optimization**: Consider shifting workloads to lower-emission regions like eu-north-1
2. **Architecture Upgrade**: Migrate to Graviton-based instances for better energy efficiency
3. **Renewable Energy**: Explore AWS Renewable Energy Programs for carbon offset
4. **Instance Right-Sizing**: Use compute-optimized architectures for energy-intensive workloads
10 changes: 10 additions & 0 deletions consumption_classification.csv
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Consumption (kWh),Flag
1500000,unknown
750000,unknown
300000,high_usage
150000,unknown
75000,medium_usage
30000,low_usage
15000,unknown
5000,unknown
-500,unknown
15 changes: 15 additions & 0 deletions emissions_classification.csv
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Color Name,Count,Emission Range
#002147,1,Unknown
e,1,Unknown
#eee,10,Unknown
Light Cream,56,0-2 tonnes
Pale Orange,42,2-4 tonnes
Dark Red,3,20+ tonnes
Light Tan,33,4-6 tonnes
#c51810,6,Unknown
Coral,17,8-10 tonnes
Warm Beige,22,6-8 tonnes
Brick Red,6,10-15 tonnes
#7f0000,3,Unknown
#d7301f,3,Unknown
#b30000,1,Unknown