🧠 AI Blog Recommendation System using Django + Elasticsearch + HuggingFace

A full-featured blog application built with Django, enhanced by AI-powered content recommendation using sentence-transformers + FAISS, and Elasticsearch-based smart search with fuzzy, autocomplete, synonym, and multi-language capabilities.

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🚀 Features

• 🔍 AI Post Recommendations using Sentence Transformers + FAISS
• 🔎 Full-Text Search with Elasticsearch 8.x
• ⚡ Ultra-fast FAISS vector similarity search
• 🧠 SentenceTransformer: all-MiniLM-L6-v2
• 🧵 Clean Django Template frontend
• 📦 Easily pluggable into any blog or content system
• 📝 Create and manage blog posts with CKEditor 5.
• 📚 Categorized blog content.
• 🔍 Elasticsearch 8.13 integrated for:
  • Autocomplete suggestions
  • Fuzzy matching
  • Synonym handling
  • Multilingual indexing (e.g., Hindi, English)
  • Real-time search
• 🤖 AI-powered blog recommendations using:
  • HuggingFace Sentence Transformers
  • FAISS for fast vector similarity
• 📈 Blog analytics tracking (optional)
• 🌐 SEO-ready Django templates (no React/DRF frontend)

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🛠 Tech Stack

• Python 3.10+
• Django 4.2
• Elasticsearch 8.x
• FAISS (Facebook AI Similarity Search)
• SentenceTransformers
• SQLite or PostgreSQL
• Bootstrap 5 (optional for UI)

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🧠 AI Recommendation System

• Utilizes sentence-transformers for semantic embeddings.
• FAISS index built at runtime for similarity search.
• Suggests 5 most similar posts on the blog detail page based on title + intro content.

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🔍 Elasticsearch Features

• Instant fuzzy search with highlight support.
• Synonym token filtering for related terms.
• Multi-language blog search support (English + Hindi).
• Live indexing of posts via Django signals (post_save).
• Search analytics (coming soon).