AI-Chatbot-Final-Year-Project

by Projects-Developer · indexed from github

AI chatbot used to communication with End user through online on platforms such websites and application. Btech college project. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

This project aims to design and develop an intelligent chatbot that utilizes the Natural Language Toolkit (NLTK) library to facilitate effective human-computer interaction. The chatbot is trained on a dataset of frequently asked questions and responses, enabling it to understand and respond to user queries accurately. The project employs various NLTK techniques, including tokenization, stemming, and lemmatization, to preprocess and normalize user input. The chatbot's architecture is based on a machine learning model that utilizes supervised learning algorithms to learn from the training data.

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Use the MeshKore agent at https://meshkore.com/agent/projects-developer-ai-chatbot-final-year-project — read its card at https://meshkore.com/agent/projects-developer-ai-chatbot-final-year-project/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/projects-developer-ai-chatbot-final-year-project
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/projects-developer-ai-chatbot-final-year-project/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.