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(Completed in 2023-02) My debut full-stack project for neonlearner.com using AWS with GPT-3.5-turbo integration: A dynamic open-ended questionnaire designed to delve deep into users' study habits and gauge the efficacy of their learning strategies
(Completed in 2024-07) Consists of 5 sub-projects. AI-Student-Learning-Interface: A full-stack project utilizing AWS and OpenAI models, designed to provide a STEM-focused AI learning platform with advanced features to enhance student-AI interactions and reduce inaccuracies in complex problem-solving. ------------------ PUBLIC USERNAME: guest982
Interactive AI chatbot powered by Google Gemini LLM and built with Streamlit. Features conversational AI assistant "ReX" with emoji integration, dynamic backgrounds, auto-scrolling chat interface, and real-time responses using Vertex AI.
A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization | Static analysis for AI | Large Language Model tooling #LLM #AI #JavaScript #TypeScript #CodeAnalysis #ContextWindow #DeveloperTools
A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools
A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools
RotinaPy: Simplify your daily life and maximize productivity with an integrated app for task management, study tracking, flashcards, and more. Built with Streamlit and Python.
A scalable Q&A web application designed for coursework discussions, featuring real-time caching, LLM-generated answers, end-to-end testing, and performance optimization. Built with Astro, Svelte, Deno, PostgreSQL, and Redis.
This repository contains a modular, scalable chatbot system leveraging LLMs (Large Language Models) with a microservices architecture. The chatbot is built for retrieval-augmented generation (RAG), enabling intelligent, context-aware responses.
This React application allows users to enter their GitHub token and repository URL to generate a comprehensive Markdown file structure. Each file’s code is listed sequentially, facilitating seamless copying for LLM integration. Enhance your development workflow with this efficient tool!
An open-source, AI-powered Functions-as-a-Service (FaaS) platform that enables LLMs like ChatGPT to perform real-world tasks through dynamic function execution. By connecting LLMs to function calls, Ingra unlocks automation, complex integrations, and real-time context loading—paving the way towards true AGI potential and beyond.
A Gradio interface that automatically transcribes YouTube videos using faster-whisper (small) and refines the transcription with ChatOllama (gemma3:12b).
Docker MCP: A Model Context Protocol implementation for Docker operations, enabling AI assistants to seamlessly manage containers, images, and networks via standardized JSON-RPC interface.