Spice Vision: Legal Matrix Filter

Imagine a future where legal jargon is visually rendered, not just read. The 'Spice Vision: Legal Matrix Filter' project aims to create a niche image processing tool. It begins by ingesting legal documents (inspired by the 'Legal Documents' scraper project). The core concept is to visually represent the document's content using styles inspired by 'Dune' and 'The Matrix'.

The 'Dune' aspect would involve color-grading images to resemble the desert planet Arrakis, subtly shifting hues based on keyword density or emotional tone identified in the text (analyzed using basic NLP sentiment analysis). For instance, clauses with high risk or negativity could be rendered in deep oranges and browns, mimicking the spice-saturated atmosphere.

Alternatively, the 'Matrix' style would overlay a stylized digital rain effect onto the legal text. Areas of high complexity or potential ambiguity, identified through NLP techniques analyzing sentence structure and vocabulary, would have a denser 'rain' or use a more disruptive color palette.

How it works:
1. Document Ingestion: Users upload legal documents (PDF, TXT, DOCX). A basic text extraction library processes them.
2. NLP Analysis: Sentiment analysis and complexity scoring modules identify keywords, emotional tone, and sentence structure complexity.
3. Image Generation: The tool generates an image of the document (or sections thereof). The image is then stylized based on the NLP analysis.
4. Style Application:
- Dune Style: Color grading and desert-inspired textures are applied. Keyword density or negativity affects color intensity.
- Matrix Style: A custom digital rain effect is overlaid. Complexity score affects rain density and color.
5. Output: The final image is presented to the user.

Low-cost implementation can be achieved using open-source NLP libraries (NLTK, spaCy), image processing libraries (OpenCV, Pillow), and simple Python scripting. Earning potential lies in selling the tool to legal professionals, paralegals, or even individual users who want a more intuitive way to understand legal documents. The niche appeal and relatively low barrier to entry contribute to its viability as an individual project.