AI / LLM

Bot-Nist — Web Data into Intelligent Support

Subscription chatbot that turns scraped site content into customer support.

2025

OVERVIEW

The Project

Bot-Nist transforms a website's own data into an intelligent support chatbot for its owners. It scrapes user-submitted domains, classifies the content with NLP, and uses a RAG framework to generate a customer-support bot — offered to website owners on a subscription model with analytics.

Objectives

Chatbot integration for website owners.

Subscription-based access to the AI chatbot.

User account & subscription management with performance analytics.

Tools & Technologies

MERNNode.js & ExpressSelenium / deep-crawlPython (LLM)ChromaDB

METHODOLOGY

The Approach

Scrape data from user-submitted (domain-specified) URLs via web crawling.

Classify scraped content with NLP techniques.

Generate a customer-support bot with an LLM (RAG framework).

Design and develop a scalable API with UI and query handling.

OUTCOME

Results & Learnings

Per-website support bots built from each owner's own content.

Subscription, account management and analytics dashboards.

Key Learnings

Reliable crawling + content classification underpins answer quality.
RAG keeps responses anchored to a site's real information.

Related Case Studies