intent-matching

Social Discovery Protocol

Conducts conversational qualification, dynamically tailoring step-by-step product walkthrough paths based on prospect pain points

Conducts conversational qualification, dynamically tailoring step-by-step product walkthrough paths based on prospect pain points

Natural language processing (NLP) is a widely discussed and studied subject these days. NLP, one of the oldest areas of machine learning research, is used in major fields such as machine translation speech recognition and word processing. As part of this repository, I have implemented few projects on Natural Language Processing using Python and …

AI-powered restaurant chatbot built with Python & Flask — handles menu queries, reservations, delivery info, and FAQs using intent matching.

The market before the market. Portfolio agents cross complementary Stock Token rebalances with each other before sending only the residual to public liquidity. Live on Robinhood Chain.

collection of google colaboratory notebooks for AI chatbot components-NLP-spell check, entity extraction ,intent identification and classification, custom action,etc

A rule-based natural-language chatbot that helps users find recipes based on ingredients and food preferences. Includes modular intent handlers, state management, and a recipe retrieval engine built on a structured dataset.

Nova: a rule-based chatbot in Python with tiered intent matching, session memory, a Flask API and a match-trace web UI. DecodeLabs AI internship, Project 1.

A retrieval chatbot devised to help the user get through cultural and spiritual practices in ancient Egypt, such as in the Luxor Temple in Thebes. It is designed to support sacrificial offerings to various Egyptian deities, thereby making sure that the rituals of its users conform to ancient Egyptian custom.

Rule-Based NLP Chatbot in Python — intent matching using JSON

Terminal-based rule-based chatbot demonstrating core conversational AI architecture — dictionary-based O(1) intent matching, input sanitization, dynamic responses, and graceful fallback handling. No ML, no external APIs. Fully unit tested with CI.

ARLI Discovery Extension: intent discovery and matching for agents, with verifiable evidence and no index holder. Normative text of the extension.

1inch Swap Intent Toolkit helps developers route cross-chain swap intents, parse inch-to-cm conversion queries, and orchestrate DeFi execution through intent-matching agents. Built for teams integrating 1inch API flows, NEAR-style atomic intents, and measurement utilities.