I built an open-source LLM eval framework as a BCA student — hallucination detection, red-teaming, regression tracking

## The Problem Every company building AI products needs to know if their LLM is actually working — or getting worse over time. This is harder than it sounds. I built an open-source evaluation framework to solve this. What It Does Runs a 27-test suite covering factual accuracy, safety refusals, hallucination resistance, adversarial prompts, and reasoning Scores outputs using a 3-tier judge chain: semantic similarity → LLM judge → regex fallback Auto-generates adversarial prompt...