PDF Keyword Summarizer Tool

Project Title:
Rule‑Based PDF Text Extractor & Summariser Web Application

Short Description:
A lightweight web application where users upload a PDF, the system extracts the text, identifies key terms using rule‑based keyword frequency, and generates a simple summary (no AI/ML).

Core Features (Deliverables):
Upload PDF (max 10MB)

Extract text accurately

Keyword extraction (frequency‑based)

Rule‑based summary (e.g., top sentences containing highest‑frequency keywords)

Highlight keywords in extracted text

Download summary as TXT

Clean UI, responsive

Delivered as a ZIP + hosted demo link

Technology (freelancer decides):
JavaScript / Python / PHP

PDF.js, PyPDF2, pdfminer, or similar libraries