ai-user-persona-builder

Reddit User Persona Generator

This project extracts a Reddit user's recent posts and comments to generate a detailed user persona using OpenAI's GPT model. It includes personality traits, interests, writing style, and even political or social leanings — all with citations from actual Reddit activity.

✅ Submission for the AI/LLM Engineer Internship at BeyondChats

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Technologies Used

• praw: Python Reddit API Wrapper
• openai: GPT-based LLM
• tqdm: Progress bar
• python-dotenv: For environment variable loading (optional)

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Features

• 🔍 Scrapes a Reddit user's posts & comments
• 🧠 Uses OpenAI's GPT to analyze behavior and generate persona
• 🧾 Citations for each insight using actual Reddit post links
• 💾 Saves each persona to a .txt file in the output/ folder
• ✅ Clean, readable, PEP-8 compliant code

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Setup Instructions

1. Clone the repository or download the ZIP

git clone https://github.com/yourusername/reddit-persona-generator.git
cd reddit-persona-generator

2. Install Python dependencies

pip install -r requirements.txt

3. Configure Reddit API credentials

Go to https://www.reddit.com/prefs/apps and create a script-type app. Then, create a config.py file:

config.py
REDDIT_CLIENT_ID = 'your_client_id'
REDDIT_SECRET = 'your_client_secret'
REDDIT_USER_AGENT = 'user-persona-generator'

4. Set OpenAI API Key

You can set it as an environment variable:

# On Windows
$env:OPENAI_API_KEY="your_openai_key"

# On macOS/Linux
export OPENAI_API_KEY=your_openai_key

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How to use

Run the script:

python reddit_persona_generator.py

Example:

Enter Reddit profile URL: https://www.reddit.com/user/kojied/

This will:

• Fetch up to 100 posts and 100 comments from that user
• Analyze the text using GPT
• Save a structured persona with citations to output/persona_kojied.txt

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Sample Output

Sample output files are included:

• output/persona_kojied.txt
• output/persona_Hungry-Move-6603.txt

Each contains:

• Age range
• Interests
• Personality
• Active subreddits
• Post timing
• Citations from posts/comments

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Disclaimer

This project is developed solely for the BeyondChats internship assignment. It is not intended for any commercial use. Your team is welcome to evaluate the code but please do not reuse it unless I am selected.