Gemini Long Context Applications

Two projects exploring practical applications of Gemini 1.5 Pro's long-context window capability.

1. Breaking Language Barriers

Leverages Gemini's long context to translate English into Kalasha, an endangered language with virtually no digital training data. By feeding entire dictionaries and grammar books as context, the model performs contextual translation without any fine-tuning. Extended to also generate American Sign Language (ASL) instructions from English text.

2. Codebase Security Analyzer

A security analysis tool that ingests entire Python repositories into Gemini's context window to detect vulnerabilities across source code, Docker configs, CI/CD pipelines, and dependency files. The long context enables cross-file pattern recognition that isolated file analysis would miss.