DocSense: A Natural Language-Powered Search and Summarization Framework

Abstract

In the digital era, decision-making and knowledge sharing depend on the ability to acquire and derive relevant insights from a variety of information sources. When it comes to handling complicated papers, CSV files, and multimedia content, traditional chatbots are limited, which frequently results in a lack of usefulness and accuracy. Because of these restrictions, sophisticated AI-powered solutions like DocSense must be developed. With its innovative AI-powered Chatbot, DocSense, customers may submit documents, CSV files, and YouTube videos for smart analysis—a feature that addresses the drawbacks of other chatbots. Present-day chatbots frequently have trouble summarising documents, which makes it difficult for users to quickly and effectively extract important information. DocSense gets around this problem by using cutting edge natural language processing methods to deliver extremely accurate document summarization. The DocSense Enhanced Natural-Language Search Engine is one of its main innovations. Conventional chatbots generally rely on keyword-based searches, which may produce results that are insufficient or irrelevant. DocSense, on the other hand, uses sophisticated language models to comprehend user inquiries in a context-aware way. This allows users to get accurate insights from their submitted documents, CSV data, and YouTube videos and ask queries in natural language. Users can upload a variety of document formats with DocSense, such as Word documents, Excel spreadsheets, PDFs, and more. These files are processed quickly by the AI-powered Chabot, which then creates clear, coherent summaries that include the most important details. Furthermore, capable of transcribing and summarising YouTube videos, DocSense is a priceless resource for scholars, content providers, and decision-makers who want in-depth understanding from a variety of multimedia sources