Automated LinkedIn Post Organizer & Classifier

Key Features:

? Automated Browsing: Uses Selenium to log into LinkedIn, navigate to the "Saved Posts" section, and retrieve all saved items.

Robust Post Extraction: Intelligently extracts post content and retrieves the unique post URL, handling potential dynamic loading issues.

? AI-Powered Titling: Employs the Groq API (Llama 3.1 model) to generate concise, descriptive titles for each post based on its content, improving findability.

AI-Driven Categorization: Utilizes the Groq API to automatically classify each post into predefined categories (e.g., Frontend_Resources, Engineering_Careers) based on its generated title.

Organized Storage: Saves the generated title and URL into category-specific text files within a structured directory (linkedin_posts/Category_Name/posts.txt).

️ Duplicate Prevention: Tracks already processed post URLs using a JSON file to avoid redundant processing.

⏱️ Efficient Processing: Implements batch processing and strategic delays to handle numerous posts while respecting API rate limits and website loading times.

️ User Feedback: Provides clear console output (using Colorama) on the progress and status of the classification process.