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Submitted URL: http://pick-up-line-generator.ai-camp.org/
Effective URL: https://pick-up-line-generator.ai-camp.org/
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PICKUP-LINE GENERATOR 

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PROJECT OVERVIEW
PROJECT DESCRIPTION:












WE CREATED AN AI THAT RETURNS A PICK-UP LINE WHEN THE USER INPUTS A PROMPT.
FURTHERMORE, IT PROCEEDS TO JUDGE THE GENERATED PICK-UP LINE AS THOUGH IT WERE
BEING JUDGED BY THE USER'S GRANDMOTHER. THE BOT OUTPUTS A CREATIVE PICK-UP LINE
FOR THE USER TO USE FOR THEIR OWN PURPOSE.


WHY WE CHOSE TO MAKE A PICKUP LINE GENERATOR?


If you've ever been in a romantic dilemma, you know exactly how it feels to not
have a pick-up line ready! It is imperative to make social interactions more
comfortable and easygoing. Speaking to your love interest can be extremely
nerve-racking and tense, so a pick-up line handcrafted by a certified grandmo
ther will certainly seal the deal!


Our Process

WEEK 1: 
DURING THE 1ST WEEK, WE LEARNED THE BASICS OF PYTHON. WE LEARNED THE DIFFERENT
DATA TYPES, VARIABLES, LOOPS, IF STATEMENTS, AND DIFFERENT BUILT-IN FUNCTIONS.
OUR MAIN FOCUS WAS ON DICTIONARIES AS A WAY TO PREPARE FOR THE NEXT STAGE OF
LEARNING. WE WERE ALSO INTRODUCED TO VARIOUS CONCEPTS WITHIN THE FIELD OF
NATURAL LANGUAGE PROCESSING TO GET US STARTED WITH OUR PROJECT!

WEEK 2:
DURING THE 2ND WEEK OF AI CAMP, WE PICKED A PROJECT TOPIC AND COLLECTED AROUND
2,400 SAMPLE PICKUP LINES AS DATA. CLEANING THE DATA GOT THIS DOWN TO ABOUT
1,500 PICK UP LINES, PUSHING US TO COLLECT MORE. WE LEARNED THE USAGE OF PANDAS
AND LEARNED HOW DATAFRAMES CAN BE LEVERAGED TO MANIPULATE DATA.

WEEK 3: 
THE LAST WEEK OF AI CAMP, WE BROKE UP INTO 2 TEAMS (FRONT-END AND BACK-END
TEAMS) AND WORKED ON DIFFERENT PARTS OF THE PROJECT. THE FRONT-END TEAM WORKED
ON DESIGNING THE WEBSITE WHILE THE BACK-END TEAM WORKED ON THE APPLICATIONS AND
TRAINING THE MODELS. 


PYTHON 3


GPT-2 MODEL


NLPAUG

GPT-2 model allows for generating synthetic text samples similar to the dataset.

Python 3 programming language was used throughout the camp to learn and build
the product

NLP Augmentation was used to generate additional synthetic data to make up for
the limited dataset.

AI Camp teaches middle and high school students machine learning and career
frameworks through real life experience. Prepare for your major and career by
joining us!

Click here to visit the AI Camp Website!