Automated Essay Scores

[Salma-Mamdoh]

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🔴 Project Title: Automated Essay Scoring with Deep Learning Models

🔴 Aim: Develop deep learning models to automatically score student essays, aiming to reduce grading time and provide consistent feedback.

🔴 Dataset: Utilize the provided dataset of student essays aligned with educational standards
https://www.kaggle.com/competitions/learning-agency-lab-automated-essay-scoring-2/data

🔴 Approach: Perform exploratory data analysis (EDA) on the dataset to understand its characteristics and prepare it for modeling. Implement 3-4 deep learning algorithms such as LSTM, GRU, Transformer, and possibly others. Compare these algorithms based on their performance metrics, particularly focusing on metrics like quadratic weighted kappa for evaluation.

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📍 Follow the Guidelines to Contribute in the Project:

• Create a separate folder named "Automated Essay Scoring" under the main repository.
• Inside the "Automated Essay Scoring" folder, include the following components:
  • Images: For any necessary visualizations or diagrams.
  • Dataset: Store the dataset or provide information/source about the dataset.
  • Model: Implement machine learning models using the dataset.
  • requirements.txt: List required packages/libraries for project replication.
• Inside the Model folder, ensure the README.md file is filled with visualizations and conclusions.

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🔴🟡 Points to Note:

• Issues are assigned on a first-come, first-serve basis; 1 Issue == 1 Pull Request (PR).
• Issue Title and PR Title should be identical, including the issue number.
• Follow Contributing Guidelines & Code of Conduct before starting to contribute.

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✅ To be Mentioned while taking the issue:

• Full name: Salma Mamdoh Sabry
• GitHub Profile Link: https://github.com/Salma-Mamdoh
• Email ID: [email protected]
• Participant ID (if applicable): [NA or mention if applicable]
• Approach for this Project: Perform EDA, implement LSTM, GRU, and Transformer models and compare their performance using metrics like quadratic weighted kappa.
• What is your participant role?: GSSoC'24 | Contributor

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Happy Contributing! 🚀

All the best. Enjoy your open source journey ahead. 😎

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[Salma-Mamdoh]

@abhisheks008 , 👋 Hey bro can you please assign me this issue under GSSoC'24 with an appropriate level tag

[abhisheks008]

Can you please the models you are planning to implement for this problem statement?

Mention at least 3-4 models for this project.

[ojaswichopra]

Please assign this issue to me

[ojaswichopra]

I am planning to try
Long Short-Term Memory (LSTM) Network, Gated Recurrent Unit (GRU) Network, Transformer Model and Convolutional Neural Network (CNN) for Text

[abhisheks008]

Hi @ojaswichopra based on your approach this issue is assigned to you.