Development and Implementation of a Secure Document Analysis and Chatbot System for Context-Aware User Interactionsr
Dukkapalli Ashok Kumar, Shaik Masthan Sharif, T Aravind · 2024
In an period where advanced communication and archive administration are progressively crucial, the integration of secure frameworks with progressed AI-driven advances is basic. This venture centers on the advancement and execution of a secure archive investigation and chatbot framework that leverages context-aware client intelligent. The framework is outlined to improve client encounter by guaranteeing that intelligent are both secure and profoundly significant to the user’s needs. By utilizing cutting-edge machine learning models and normal dialect preparing methods, the chatbot can get it and translate the setting of client inquiries, giving exact and context-sensitive responses. Security is a basic angle of the framework, with vigorous encryption and information security components coordinates into the record examination prepare. This guarantees that delicate data is dealt with with the most noteworthy level of privacy and judgment. The framework too highlights a energetic learning component, permitting the chatbot to adjust to advancing client necessities and developing security dangers. Through the combination of secure archive investigation and brilliantly, context-aware intuitive, this extend points to make a solid and productive apparatus for organizations that bargain with huge volumes of delicate information. The execution illustrates the potential of AI-driven chatbots in upgrading secure communication and record administration forms.