Intelligent Document Insightful Platform

Problem

Knowledge workers, researchers, legal teams, and analysts routinely deal with piles of unstructured PDF documents — contracts, reports, research papers, policy documents — and: - Reading every page is slow. Extracting the key point of a 40-page report can take longer than the meeting it's needed for. - Important details get buried. Critical clauses, risks, or findings are easy to miss when skimming. - Finding answers means re-reading. "What does this contract say about termination?" usually means Ctrl+F and hoping the right keyword was used. - Context switching kills productivity. Manually summarizing, tagging, and organizing documents pulls focus away from actual decision-making. - There's no lightweight, self-hostable tool that lets you upload a document and immediately get a summary, key insights, and the ability to ask it questions — without wiring together five different SaaS tools.

Solution

Tech Stack

Architecture

Future Improvements

• →Staying up to date with the AI/LLM in Python
• →Enhance the AI powered document processor to extract and parse the document better with keywords and better OCR and libraries that are being used.