Service :
Post Generator
Overview
Built a GPT-powered tool that mimics the storytelling style of Hamza Bhatti’s LinkedIn posts. It analyzes tone, structure, and themes to generate emotionally resonant, human-like content.
AI-Powered LinkedIn Writing Style Mimicry (Inspired by Hamza Bhatti)
This project explores whether AI can authentically replicate a personal writing style—specifically, the emotionally resonant storytelling of Hamza Bhatti’s LinkedIn posts. I set out to build a prompt-engineered content generator that doesn't just copy words, but captures tone, rhythm, and subtle pauses that give a post its soul.
What I did:
Scraped and cleaned 40 of Hamza Bhatti’s recent LinkedIn posts
Preprocessed the text: normalization, noise reduction, and token structuring
Extracted stylistic features including language patterns, line structure, and thematic tags
Built a dataset of 15 distinct post themes based on his narrative patterns
Developed a prompt-based generator using GPT to mimic his unique tone
The result: English outputs that closely mirror Hamza’s storytelling style—what I call “storytelling, with soul.” While the Urdu-English blend still lacks human nuance, the English ones reflect his emotional rhythm and confident pacing shockingly well.
Why it matters:
This project isn't about replacing voices—it's about reflecting them. It’s a practical demonstration of how AI can learn and mirror authentic personal expression.
