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JohnEaganFS committed Nov 3, 2021
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1,348 changes: 674 additions & 674 deletions LICENSE

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# FS-CSCI150-F21-Team4

### Project Name: Word of Mouth

### Project Leader: John Eagan

### Start Date: 9/14/2021

## Group Members:

| Members | Roles |
| ----------- | ----------- |
| John Eagan | Roles |
| Mitchell Maltezo | Roles |
| Anthony Marin | Roles |
| Travis Quigg | Roles |
| Jacob Sales | Roles |
| Mary Valencia | Roles |

1. Abstract
2. Introduction
1. Purpose
2. Scope
3. Project Description
4. Project Features/Requirements
5. Prioritization
6. Diagrams
7. References

## Abstract
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## Introduction
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## Project Description
A website where people/users looking for a laborer of some kind (landscaper, painter, etc) can browse different laborer profiles and examine their services, rates, and whatever else. there will also be a "reviews" section where a machine learning model interprets the reviews and breaks them down into good, neutral, and bad.
## Project Features/Requirements
Database Integration - We will be using MySql Workbench to harbor csv files to do SQL commands. We will be utilizing a api, either MangoDB or XAMP, to handle read and writes to data. Data will be pooled using a web scraping library like Beautiful Soup in Python.
## Prioritization
edit
## Diagrams
Database: https://embed.creately.com/338jTLdcvsF?token=WyUUiWLugD8krQKA&type=svg
## References
edit
# FS-CSCI150-F21-Team4

### Project Name: Word of Mouth

### Project Leader: John Eagan

### Start Date: 9/14/2021

## Group Members:

| Members | Roles |
| ----------- | ----------- |
| John Eagan | Roles |
| Mitchell Maltezo | Roles |
| Anthony Marin | Roles |
| Travis Quigg | Roles |
| Jacob Sales | Roles |
| Mary Valencia | Roles |

1. Abstract
2. Introduction
1. Purpose
2. Scope
3. Project Description
4. Project Features/Requirements
5. Prioritization
6. Diagrams
7. References

## Abstract
edit
## Introduction
edit
## Project Description
A website where people/users looking for a laborer of some kind (landscaper, painter, etc) can browse different laborer profiles and examine their services, rates, and whatever else. there will also be a "reviews" section where a machine learning model interprets the reviews and breaks them down into good, neutral, and bad.
## Project Features/Requirements
Database Integration - We will be using MySql Workbench to harbor csv files to do SQL commands. We will be utilizing a api, either MangoDB or XAMP, to handle read and writes to data. Data will be pooled using a web scraping library like Beautiful Soup in Python.
## Prioritization
edit
## Diagrams
Database: https://embed.creately.com/338jTLdcvsF?token=WyUUiWLugD8krQKA&type=svg
## References
edit
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