🚀 KnowMap — Cross-Domain Knowledge Mapping using AI

A full AI-powered system built step-by-step through multiple milestones in Google Colab.

KnowMap analyzes text from different knowledge domains (Science → Business → Technology → etc.), extracts key concepts, generates semantic embeddings, and creates an interactive knowledge graph that shows cross-domain relationships.

This project was developed milestone-by-milestone and finally deployed using Streamlit + Ngrok.

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📘 About the Project

KnowMap is an AI system designed and built by Alok Yadav.
It performs:

• NLP-based keyphrase extraction
• Sentence-Transformer embedding generation
• Knowledge graph creation using NetworkX + PyVis
• Cross-domain similarity linking
• Interactive visualisation through Streamlit
• Optional storage in Neo4j

This project was created entirely in Google Colab, with code executed milestone-by-milestone in clean modular cells.

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📌 Milestones Overview

🧩 Milestone 1 — Dataset Upload & Cleaning

• Upload multiple domain documents
• Preprocess text
• Remove stopwords, special characters
• Convert to clean tokenized text

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🧩 Milestone 2 — NLP Concept Extraction

• Use spaCy "en_core_web_sm"
• Extract Nouns, Noun-Phrases, Keywords
• Store domain-wise keyword lists

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🧩 Milestone 3 — Embedding Generation

• Use Sentence-Transformer (all-MiniLM-L6-v2)
• Convert extracted concepts to embeddings
• Store embeddings for cross-domain comparison

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🧩 Milestone 4 — Knowledge Graph Creation

• Build graph using NetworkX
• Add similarity-based edges
• Use PyVis for interactive graph visualisation

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🧩 Milestone 5 — Streamlit App Deployment

• Integrated all milestones into one app
• Launched via Ngrok from Colab
• User uploads multiple domain files, generates graph, and explores it live

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📁 Folder Structure

Knowmap-cross-domain-knowledge-mapping-using-AI/
│
├── app.py                     # Final Streamlit App (All milestones integrated)
├── knowmap_cross_domain_knowledge_mapping_using_ai_.py  # Colab exported code
├── requirements.txt           # Libraries required
│
├── milestones/
│   ├── milestone_1_dataset.py
│   ├── milestone_2_nlp.py
│   ├── milestone_3_embedding.py
│   ├── milestone_4_graph.py
│   └── milestone_5_streamlit.py

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🖼️ Application Screenshots

🔐 User Authentication

📁 Dataset Management

🧠 NLP Extraction — Entities & Relations

🔍 Knowledge Graph Visualization & Semantic Search

🛠️ Admin Dashboard

💬 User Feedback & Peer Testing