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Educational institutions face a growing volume of repetitive and time sensitive queries from students, ranging from admissions and examinations to hostel services and academic support. Traditional helpdesks often struggle to address these queries efficiently, resulting in delays and reduced student satisfaction. This paper presents a Hybrid Chatbot System designed specifically for educational environments, integrating rule based logic, retrieval based search, and generative AI models. The hybrid architecture intelligently routes queries through an intent classification module, ensuring precise responses for structured information, accurate retrieval of institutional data, and conversational explanations for open ended queries. Comprehensive evaluation results show significant improvements in accuracy, scalability, and response quality compared to traditional chatbot systems. The proposed approach demonstrates strong potential to transform student support services and enhance digital connectivity across modern educational institutions.