Deep Learning / NLP tutorial for Chatbot Developers

The goal of this project is to lead my data science team in the development of an interactive speaking chatbot designed to assist new university students with their queries. The chatbot will leverage Natural Language Processing (NLP) techniques and Deep Learning (DL) models to deliver accurate, conversational, and context-aware responses, ...

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Tutorial for AI(ML, DL, OpenCV, Chatbot, Web)

Intelligent travel recommendation engine using ML/DL models and Claude AI chatbot for personalized destination suggestions across India.

We can deploy any ML model or DL model including chatbots, LLMs, Computer vision models using Gradle UI with simple steps. This can help reduce development time of building UI for your application and concentrate on Experimenting Networks and Data processing steps which are crucial.

A curated collection of 60+ AI, ML, DL, NLP, RL, and Data Science projects built using Python, TensorFlow, Scikit-learn, and more. Includes OCR, chatbots, prediction models, dashboards, and real-world analytics solutions. Ideal for showcasing practical AI skills.

It is an AI-ML/DL project that'll help you to diagnose which skin disease you may have with the image you provide and to predict the disease you may have using you provided syptoms and also a integrated chatbot for your personal needs and questions.

 Train.ipynb : The notebook where all the training using deep learning (DL) took place. A model was saved for further use. An LSTM CNN hybrid was used for training.  App.py : The python file with flask code to axt as backend of our web application. This file also processes user text and predicts responses based on the saved model.  Index.html : The HTML part of the frontend of our web application.  Style.css : The CSS part of the frontend of our web application.  Intents.json : The datatset used for training the model. The chatbot is created using deep learning model CNN.

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Chatbot for health care by using DL

Chatbot for health care by using DL

Welcome to the Medi-Assist project! This repository contains the code for a chatbot that utilizes an LSTM (Long Short-Term Memory) neural network, a part of deep learning, for understanding and generating responses, integrated with a Flask web application for an interactive user interface.

A minified version of Celestial-DL discord chatbot used for educational purposes.

The starting point for a chatBot with spellchecker, (only the spell checker part is started), project is written in java, using DL distance and close keyboard elements check.

An AI-powered legal chatbot offering instant legal advice, lawyer connections, and document assistance using API, DL and Django, ensuring secure, user-friendly, and accessible online legal support for users anytime.

An NLP-based Emotion Prediction model that analyzes text to detect emotions such as happiness, sadness, anger, and fear. Uses text preprocessing, feature extraction, and ML/DL models for accurate multi-class emotion classification. Enhances applications like chatbots, sentiment analysis, and social media monitoring through emotion-aware insights.

Industrial Safety Incident Analysis & Risk Prediction using NLP | This project, part of my PGP in AI & ML from Great Learning, develops an AI-powered chatbot for workplace safety using NLP and ML/DL models. It analyzes accident reports, predicts risk levels, and provides safety insights using Random Forest, BERT, and Transformer-based embeddings.

A lightweight WhatsApp chatbot built on Twilio and powered by yt-dlp that lets you instantly download Instagram videos. Simply send a message in WhatsApp using a command like dl <Instagram link>, and the bot automatically fetches the video and returns it to you—eliminating the need for third-party downloader sites or manual copy-pasting.