SymptomWise maps free-text inputs to validated representations before applying a deterministic reasoning module. This framework prevents hallucinations by restricting Large Language Models to symptom extraction rather than diagnosis. It uses a finite hypothesis space to ensure traceability. Practitioners gain a reliable, auditable pipeline for safety-critical medical analysis where generative consistency is non-negotiable.