A chatbot for my portfolio website to interact with its users

A production-ready, self-hosted RAG (Retrieval Augmented Generation) chatbot widget built with Next.js, Redis vector storage, and multiple AI model fallbacks. Perfect for embedding into portfolio websites or any web application.

A lightweight customer service chatbot powered by Flask, FAISS, and Sentence Transformers. It provides instant answers to FAQs with semantic search, wrapped in a modern and responsive chat interface. Dockerized for smooth deployment, making it perfect for portfolio showcase or real-world integration.

LangChain × OpenAI を活用した社内FAQチャットボット（ポートフォリオ用）

A simple FAQ chatbot built in Python for my personal portfolio. It answers common questions about my background, skills, projects, and certificates while logging conversations for future learning.

Python-based FAQ chatbot for small businesses or portfolio projects.

A RAG-based internal FAQ chatbot portfolio built with Python, LangChain, ChromaDB, and Streamlit.

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Terminal-based portfolio website with a GPT chatbot that answers questions using a custom FAQs knowledge base.

Production-ready, containerized AI support chatbot: Go REST API backend, Python intent/FAQ engine, React SaaS UI. Delivers real-time chat, admin FAQ training, intent-driven answers, and low-confidence human handoff. Perfect for demos and freelance portfolios.

4 tasks: Translation Tool (Google API), FAQ Chatbot (NLTK), AI Music Gen (LSTM), Portfolio Website (HTML/CSS/JS) + Object Detection (YOLO/OpenCV). Python, TensorFlow, NLP. Explore & contribute!

Build a chatbot that answers user questions by searching a set of uploaded documents or FAQs—like a custom assistant for a website, portfolio, or study material.

Portfolio Web App built with Next.js, showcasing my projects, skills, and an AI-powered FAQ chatbot. Designed for interactive browsing and quick access to my work and expertise.

PersonaBot – A customizable AI chatbot backend built with Node.js, Express, and the Groq API (LLaMA 3). Easily adaptable for portfolios, customer support, business FAQs, or any personalized chat experience.

Portfolio of three AI internship projects at CodeAlpha showcasing expertise in NLP, computer vision, and web development. Includes a multilingual translation tool, an intelligent FAQ chatbot, and a real-time object detection system.

An interactive AI-powered portfolio chatbot built with React, TailwindCSS, TensorFlow.js, and OpenAI. Features intent recognition with a custom FAQ dataset, fallback to GPT responses, and a floating chat widget for seamless user engagement.

A production-ready, portfolio-quality FAQ Chatbot engineered with Flask, NLTK, and Scikit-Learn. The architecture strictly adheres to Software Engineering principles, utilizing Object-Oriented paradigms (OOP), separation of concerns (MVC-like pattern), and clean, maintainable code.

Customer Support Chatbot is a Flask-based AI chatbot that provides fast and polite customer support for common queries like order tracking, refunds, account issues, and FAQs. It supports both English and Roman Urdu and is lightweight, secure, and easy to deploy on platforms like Replit, making it ideal for academic and portfolio projects.

In this project, I'll create an AI chatbot that can handle customer service inquiries. This could include answering FAQs, assisting with booking appointments, or even guiding users through troubleshooting steps. I'll add the outcome to ongoing projects like portfolio and eqution experts.

NeuralDesk is a smart AI chatbot desktop app by Michael Semera, built with Java, JavaFX, NLP, and SQLite. It features sentiment analysis, context memory, and offline FAQ support. Designed to showcase AI, UI, and data persistence skills in a clean, modern, and portfolio-ready Java project.