Personality Prediction Project

Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

MIT License

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Personality Prediction Project #331

Open Niketkumardheeryan opened 2 years ago

Niketkumardheeryan commented 2 years ago

Imagine how interesting it would be to read the posts written by people online and be able to understand their overall personality? The axis ranges from Introversion (I) to Extroversion (E), Intuition (N) to Sensing (S), Thinking (T) to Feeling (F), and Judging (J) to Perceiving (P).

Diishasing commented 2 years ago

HI @Niketkumardheeryan Please let me work on this feature. I am a GSSOC'22 participant. I can really learn a lot from this work.

Rutikab12 commented 2 years ago

HI @Niketkumardheeryan Please let me work on this feature. I am a GSSOC'22 participant. I can really learn a lot from this work.

YOU can work on this issue now @Diishasing . You have 5 days to make a PR.

Rutikab12 commented 2 years ago

@Diishasing What's the update on project?

heymansi commented 2 years ago

Hii, I am GSSOC 22 contributer @Diishasing can you please assign me this

aditya1-sin8h commented 6 months ago

I would like to contribute on this issue. Please assign this issue to me.

Sgvkamalakar commented 6 months ago

Hi @Niketkumardheeryan and @Rutikab12 , would you like to assign this issue to me? I want to contribute through GSSOC 2024

Here's how I plan to approach the project:

I'll start by collecting data from open-source sites, focusing on the Twitter MBTI Personality Detection dataset.
Next, I'll conduct exploratory data analysis (EDA) and preprocessing to prepare the data for modeling.
I'm considering using Transformer Models such as BERT and TweetBERT to extract embeddings for model selection. Additionally, traditional ML classifiers and NNs to see which best fits our needs.

Pranali3103 commented 5 months ago

Hi @Niketkumardheeryan , I would like to work for this issue. I am a GSSOC'24 contributor.