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triple_seven_slots_game
triple_seven_slots_game PublicTriple Seven Slots Game in Flutter
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Charge-Point-Simulator-via-OCPP-2.0.1
Charge-Point-Simulator-via-OCPP-2.0.1 PublicThis is a emulator for huge numbers of charge points, that connect to central system through web socket and implement OCPP 2.0.1
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evc_google_maps_demo
evc_google_maps_demo PublicFlutter Electric Vehicles Charging Stations Map Demo
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ocpp-node-ts
ocpp-node-ts PublicTypescript package implementing the JSON version of the Open Charge Point Protocol (OCPP). Currently OCPP 2.0.1 is supported.
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BDD-Charge-Point-Tester-via-OCPP-J-
BDD-Charge-Point-Tester-via-OCPP-J- PublicOCPP Charge Point Tester on Cucumber is a software tool that is designed to simulate Central System in the Open Charge Point Protocol (OCPP) 1.6 specification using the Cucumber testing framework.
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A FastAPI-based backend service for a personal assistant voice agent integrated with Vapi AI. This project demonstrates how to build a structured API that handles todo lists, reminders, calendar events, and phone calls through voice commands processed by AI.
- extrawest_ocpi Public
Python implementation of Open Charge Point Interface (OCPI) protocol based on fastapi.
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A scalable voice assistant implementation using LiveKit for real-time communication, with custom Speech-to-Text (STT) and Text-to-Speech (TTS) integrations using local APIs.
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This repository contains an intelligent web scraping solution that uses ScrapeGraphAI for LLM-powered content extraction and LangGraph for orchestrating the scraping workflow. The system can intelligently crawl websites, extract content using natural language instructions, and search for specific information.
- web_scraping_with_firecrawl_and_langgraph Public
This repository contains an intelligent web scraping solution that uses Firecrawl for content extraction and LangGraph for orchestrating the scraping workflow. The system can automatically crawl websites, extract content, and search for specific keywords or information.
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- multi_agent_workflow_demo_in_langgraph Public
A collection of demonstrations showcasing different patterns for implementing multi-agent workflows using LangGraph. Each example highlights specific orchestration approaches to help developers understand and build collaborative AI systems.
- langgraph_demo_app_with_self_reflective_rag Public
A self-reflective and adaptive RAG system that dynamically routes queries between web search and vector retrieval, assesses document relevance, checks for hallucinations, and ensures answer quality using a graph-based flow architecture.
- langgraph_qa_with_graph_db_showscase Public
A showcase implementation demonstrating how to build an intelligent Q&A system using LangGraph and Neo4j Graph Database. This project combines the power of Large Language Models (LLMs) with graph database capabilities to answer questions about movie data.
- fullstack_llamaindex_demo Public
This application is a full-stack document indexing and retrieval system that allows users to upload documents, index their content, and perform natural language queries against the indexed documents. It utilizes LlamaIndex, OpenAI embeddings, and a modern React frontend to provide an interactive experience for semantic search and document retrieval
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