AI-powered extractive text summarization pipeline combining NLTK preprocessing, cosine similarity scoring, and NetworkX TextRank graph algorithms to automatically extract key sentences from documents. The architecture flows from user input through PDF extraction and text cleaning, then applies sentence similarity matrices and graph-based ranking to identify the most relevant content. This approach delivers fast, interpretable summaries without fine-tuned models, ideal for enterprises needing scalable document processing on OCI infrastructure. Fork this diagram to customize the NLP pipeline, swap ranking algorithms, or integrate additional LLM enhancement via Groq API for abstractive refinement. The modular design supports both direct text input and PDF uploads with downloadable summary outputs.