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 [login to view URL], PyPDF2, pdfminer, or similar libraries

Project ID: 40424467