RSS-to-Image Summarizer

This experimental project combined Python scripting, RSS feeds, Google Sheets data manipulation, and AI-generated imagery to explore a novel way of visualizing daily news. By fetching current events from RSS feeds, the system summarized articles and then generated prompts for Midjourney. Although no direct API connection was established, the prepared prompts could be manually pasted into Midjourney to produce unique cat-themed images representing the news.

Automated RSS Retrieval

Continuously fetched news articles from selected RSS feeds.

Summarized News Content

Condensed multiple articles into concise summaries for quick review.

Google Sheets Integration

Employed Python scripts to interact with Google Sheets, automatically updating and formatting prompts.

Midjourney Prompt Generation

Produced compatible text prompts that could be copied into Midjourney to generate images.

Google Colab Environment

Leveraged cloud-based Python notebooks for easy experimentation and code execution.

Sheet-Driven Workflows

Utilized Google Sheets as a dynamic interface for organizing and refining textual data before creating prompts.

Manual Image Generation Step

No direct API calls—prompt generation was automated, but image creation required manual input into Midjourney.

Proof-of-Concept Innovation

Showed how real-time news content could inspire AI-driven, visual representations.

Process Automation

Demonstrated the ability to streamline prompt preparation and reduce manual overhead.

Limited Adoption

Did not progress to automated publishing due to repetitive content and limited variability in visuals.

On request: code snippets, instructions, and example outputs illustrating the prompt generation process and corresponding Midjourney-generated images.