Aipply

Large Language Models for College Applications

A research project exploring AI-powered solutions for college admissions

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📖 About

Aipply is a research project that investigates the application of large language models (LLMs) in the college application process. This project examines how advanced AI technologies can assist students, counselors, and institutions in navigating the complexities of college admissions.

🎓 Research Paper

The repository includes a comprehensive research paper documenting the methodology, findings, and implications of using LLMs for college applications:

📄 Aipply__Large_Language_Models_for_College_Applications_submitted.pdf

🔬 Research Focus

• AI-Assisted Applications: Exploring how LLMs can support essay writing, application review, and guidance
• Educational Technology: Investigating the intersection of artificial intelligence and higher education
• Ethical Considerations: Examining the implications and best practices for AI in admissions

📚 Contents

• Research paper (submitted for peer review)
• Documentation and supplementary materials
• License information

Some code has been removed from this repository to preserve privacy and reduce privacy risk; if you are interested in the omitted components, please contact us.

Data

• All data in this repository is synthetically generated.

🚀 Getting Started

Installation

cd ezcommon-backend
pip install -r requirements.txt

Configuration

Copy the example environment file and add your API key:

cp .env.example .env
# Edit .env and set OPENAI_API_KEY

Usage

Place your documents (transcripts, test scores, etc.) in ezcommon-backend/data/, then run:

cd ezcommon-backend

# Step 1: Parse documents and store in database
python workflow/parse_documents.py

# Step 2: (Optional) Extract data to JSON
python workflow/export_data.py

# Step 3: Fill application forms
python workflow/fill_forms.py

Script	Description
parse_documents.py	Parses user documents (OCR/Vision AI) and stores semantic blocks in database
export_data.py	Extracts stored data to JSON file for inspection
fill_forms.py	Fills college application forms using parsed data

📄 License

This project is licensed under the MIT License. See LICENSE for details.

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For comprehensive details, methodology, and findings, please refer to the research paper.