Offerings:

Development of an AI-driven Bengali News Chatbot capable of:

News Scraping from a specified source (e.g., a major daily newspaper).

Categorization and Archiving of current and historical news items.

Searching for Similar News utilizing FAISS indexing and embeddings.

Summarizing Bengali News via a fine-tuned BERT model.

Responding to User Queries (based on title, category, or full-text search).

Primary Capabilities:

Automated Daily Web Scraping: Automatically gathers news from the designated source.

FAISS-based Similarity Search: Quickly finds pertinent articles.

Tailored Embeddings: Combination of Word2Vec and TF-IDF for enhanced search precision.

BERT-based Summarization: Produces concise, clear Bengali news summaries.

Engaging Chatbot: Allows users to inquire about any news and receive rapid responses.

Code Organization:

scraper.ipynb Script for web scraping.

Bangla_News_chatbot_QA.ipynb Chatbot for retrieving news.

BanglaTextSummarizer.ipynb Fine-tuned Bengali BERT summarizer.

Target Audience:

Organizations involved in news and content creation

Enterprises requiring automated news gathering

Individuals conducting research in NLP and Bengali text analysis

What is Delivered:

Complete functional notebooks

Instructions for setup

Options for code modification