🤖 Revolutionary AI-powered portfolio system - Edit one JSON file, get a complete interactive portfolio with intelligent chatbot. Zero code required, maximum customization.

The AI-native portfolio — this one talks back.

Turn your LinkedIn or resume into a beautiful, interactive portfolio in seconds. No coding needed. AI-powered, fully responsive, with dynamic 3D and animated designs.

Transform any photo into a professional headshot in seconds with AI-powered enhancement. Perfect for LinkedIn profiles, resumes, and professional portfolios.

An innovative portfolio powered by AI that brings my GitHub activity to life. The AI assistant can discuss my projects, commits, and contributions in real-time, providing visitors with an interactive way to explore my work.

♊ Voice-Interactive AI Digital Twin powered by Google Gemini 3. Talks to recruiters via Neural TTS, visualizes architecture, and defends against prompt injection.

A framework for building AI correctly and managing it continuously. Three-Layer Architecture + Portfolio Intelligence.

AI Portfolio Assistant is a Django web app that uses GPT-4o-mini (via OpenRouter) to answer questions about Hudson Mathew’s portfolio using a live-updating data.json knowledge base, with strict prompt rules to block off-topic queries.

Rayyaan Haamid - ITAI 2376 AI & Deep Learning Portfolio 🚀: A comprehensive collection of projects and learnings from the ITAI 2376 course, showcasing hands-on experience with Azure AI, PyTorch, TensorFlow, NLP, Diffusion Models, and culminating in a solo-developed, multi-tool AI Agent capstone.

Central hub for Enterprise AI Architecture: 55+ production-ready repos, consulting toolkits, Azure solutions & Three-Layer AI Framework

Software Developer Portfolio built with NextJS and Tailwind CSS with dark and light mode that helps you showcase your work and skills as a software developer.

Explainable Machine Learning project predicting salary using Linear Regression. Interactive Streamlit app with regression visualization and model evaluation.

AI-powered, production-ready Next.js 14 portfolio with Tidio chat—showcase MERN/fullstack skills, real-time engagement, and mobile-first UI for developers and recruiters.

terminal based ai integrated portfolio

Full-stack Personal AI Portfolio with multi-provider AI support and secure deployment

Portfolio demonstration: A lightweight demo calling Google Gemini 1.5 Flash from Python to generate healthcare ML content.

Synthetic dataset generation pipeline with Pydantic validation and LLM-as-Judge evaluation

A clean, modular, client-side WordPress plugin that generates personalized ETF investment portfolios based on risk tolerance, values, and financial goals. Includes CSV export, PDF reports, shortcode integration, and future-ready AI enhancement points. Built with vanilla PHP, HTML, CSS, and JavaScript.

CrewAI-powered customer feedback analysis with sentiment, theme clustering, and roadmap alignment

Domain-specific embedding fine-tuning with contrastive learning and PEFT/LoRA

My personal presentation webpage

Personal AI developer portfolio showcasing machine learning, NLP, and software projects built by Kata Sai Kranthu Reddy.

We fine tune a pre-trained model on sentiment analysis using the IMDB dataset. The model fine-tuning and deployment is done using AWS Sagemaker.

Portfolio demo: Hugging Face Space with text + image generation (poetry & painting)

Multi-agent DevOps AI assistant for pipeline monitoring, log analysis, root cause detection, and remediation

95% accurate weather image classifier with TensorFlow and Grad-CAM. Demonstrates production ready ML skills: transfer learning, data augmentation, interpretability, and error analysis.

Showcase de producción audiovisual generativa. Exhibición técnica de síntesis de voz, creación de personajes IP consistentes y escenografía virtual mediante IA.

We fine tune a pre-trained model on sentiment analysis using the IMDB dataset. The model was fine-tuned and deployed locally with a FAST API endpoint.

Production-grade Full-Stack AI Portfolio built with FastAPI, Jinja2, Tailwind CSS, and Groq LLM.

Agentic RAG system with LangGraph, hybrid BM25+FAISS retrieval, cross-encoder reranking, Corrective RAG, FastAPI, RAGAs evaluation, and Docker deployment