AI-Generated Daily Wallpapers Based on Social Media Trends
The project aims to scrape trending keywords from social media platforms daily and use these keywords to generate AI-based wallpapers. The wallpapers will be dynamically updated each day via an online connection. The workflow might involves:
Able to figure out the top 10 most frequent words or phrases, generate 10 wallpapers, and randomly select from the system to update the wallpaper every 3 hours.
Data Collection: Using web scraping or social media APIs (such as Twitter or Reddit) to gather the most popular keywords or topics trending each day. Keyword Analysis: Processing the collected data using natural language processing (NLP) techniques to extract the most frequent and relevant keywords. AI-based Wallpaper Generation: Leveraging a text-to-image generation model (such as Stable Diffusion or DALL·E) to create unique wallpapers based on the extracted keywords. Daily Wallpaper Updates: Setting up a system that connects to the internet daily to download the generated wallpaper and apply it to the user's desktop automatically.
start by manually gathering and processing the data, testing the AI generation, and storing it locally. Once that pipeline is working well, focus on automating the scraping and daily updates
other ideas: 1.Roguelike Game Strategy Recommendation Using Reinforcement Learning ( most profitable or safest approaches in real time)