README.md

metadata

title: CompleteProfile AI
emoji: 💼
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.22.0
app_file: app.py
pinned: false
license: mit

💼 CompleteProfile AI (LinkedIn Optimizer AI)

CompleteProfile AI is an all-in-one digital career assistant designed to help job seekers build fully optimized LinkedIn profiles from scratch. For many new professionals, writing high-impact copy and securing polished, professional headshots are massive barriers to entry.

This pure-Python, database-free application solves both problems by interviewing users to generate tailored, keyword-rich headlines and summaries, instantly stripping messy photo backgrounds for a studio finish, and generating custom-fit, abstract LinkedIn banners matching their industry.

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🚀 Key Features

1. AI Career Journalist (Text Optimizer): A conversational chatbot interface powered by gpt-4o-mini. It interviews the user with dynamic prompts and translates raw, messy text into professional, keyword-optimized headlines and LinkedIn "About" summaries.
2. Instant Studio Headshot Generator (Photo Editor): An in-memory computer vision pipeline powered by the open-source BiRefNet model. It instantly detects and strips busy, casual backgrounds from user-uploaded portraits, allowing them to overlay a clean, solid color or professional studio backdrop.
3. Context-Aware Banner Artist (Banner Generator): A questionnaire-driven visual tool that prompts the FLUX.1-schnell image generation engine via the free Hugging Face Inference API. It outputs custom, beautifully scaled geometric abstract banners (1584 x 396 px) matched to the user’s industry and brand palette.

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🛠️ Technical Stack

• Frontend UI: Gradio (utilizing a seamless, tabbed gr.Blocks layout).
• Hosting Platform: Hugging Face Spaces (Free CPU Basic Tier).
• Text Processing Engine: OpenAI API (gpt-4o-mini with strict structured JSON output mapping).
• Background Remover Engine: Local BiRefNet (loaded in-memory via PyTorch).
• Banner Engine: Hugging Face Inference API calling black-forest-labs/FLUX.1-schnell.
• Image Processing: Python Imaging Library (Pillow / PIL) for background-foreground compositing and canvas resizing.

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💻 Local Setup & Installation

If you want to run this application locally on your machine, follow these steps:

1. Clone the Repository

git clone https://huggingface.co/spaces/Crackershoot/CompleteProfile-AI
cd CompleteProfile-AI