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MetaGPT AI technology page Top Builders

Explore the top contributors showcasing the highest number of MetaGPT AI technology page app submissions within our community.

MetaGPT: Collaborative AI for Complex Tasks

MetaGPT is a groundbreaking AI technology, designed to transform the landscape of software development. This innovative AI model can be thought of as a collaborative software entity, bringing together different roles within a software company to streamline complex tasks.

General
Relese dateAugust, 2023
Repositoryhttps://github.com/geekan/MetaGPT
TypeCollaborative AI Agent

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    MetaGPT AI technology page Hackathon projects

    Discover innovative solutions crafted with MetaGPT AI technology page, developed by our community members during our engaging hackathons.

    TripTag

    TripTag

    TripTag is an all-in-one travel app designed to make every journey effortless, secure, and tailored to your needs. Combining AI, AR, and real-time data, it helps travelers plan smarter, explore with confidence, and stay connected throughout their trip. Key features: * AI-powered recommendations: Get personalized destination and activity suggestions based on your interests, budget, and travel dates. * Easy hotel booking: Search and book accommodations directly in the app with exclusive deals and secure payment options. * Live travel updates: Stay informed with real-time weather forecasts, transportation schedules, and local event alerts. * Custom itinerary planner: Create, organize, and personalize your travel plans by tagging locations, adding notes and photos, and sharing itineraries with others. * Traveler community insights: Discover hidden gems and read honest tips from fellow travelers through community reviews. * Offline mode: Download your itinerary and maps for access when you're without internet, perfect for remote or international travel. * AR safety companion: Use the augmented reality bodyguard feature to get safety alerts, navigate unfamiliar areas confidently, and send live locations to emergency contacts if needed. * AI travel assistant: Chat with your virtual travel guide for help with bookings, translation, cultural tips, and instant recommendations based on your location. How TripTag works: 1. Set your travel preferences to receive tailored destination suggestions 2. Book hotels and experiences securely within the app 3. Plan your trip with a flexible, tag-based itinerary builder 4. Navigate safely using the AR bodyguard and stay alert to local conditions 5. Get help anytime with the AI assistant for translations, bookings, or advice 6. Go offline by downloading your plans and maps for on-the-go access TripTag combines smart technology with user-centered design to give travelers peace of mind and freedom to explore the world their way.

    code mate

    code mate

    CodeMate is an intelligent AI assistant that streamlines your development workflow by automatically generating project structures, essential code files, and GitHub workflows from a simple project description. It integrates with GitHub to create repositories and push generated content, making project setup fast and effortless. How It Works Project Description Input: Users provide a natural language description, including project goals, features, and preferred tech stack. AI-Powered Code Generation: Using Novita AI, CodeMate creates: README.md with project overview and usage requirements.txt listing dependencies src/app.py as the main application script (e.g., a Streamlit app) .github/workflows/main.yml for CI/CD automation Organized Project Structure: CodeMate structures the generated files into a clean, navigable local directory to help developers get started quickly. GitHub Integration: Creates and initializes a new repository Pushes the generated content Links the repo in the README Robust Error Handling: It ensures successful GitHub operations with retry logic, and initializes empty repos using repo.create_file(). Secure Environment Management: Sensitive data like API keys and GitHub tokens are handled via environment variables, keeping your credentials safe. CodeMate helps developers move from idea to codebase in minutes—automating setup so you can focus on building.

    AI-Driven Zabbix for School Networks

    AI-Driven Zabbix for School Networks

    Our project integrates AI with Zabbix to develop an intelligent network monitoring and diagnostic system tailored for educational institutions. Schools rely heavily on stable internet connectivity for digital learning, online assessments, and cloud-based applications. However, network issues such as downtime, high latency, or bandwidth constraints can disrupt these activities. To address this, we enhance Zabbix with AI-powered analysis using Orca Mini and GPT-4. Our system detects, analyzes, and diagnoses network problems in real time, providing automated insights and recommendations to IT administrators. The AI assistant runs on Windows, communicating with a Zabbix server on Ubuntu via SSH, ensuring seamless interaction between AI and network monitoring tools. When an issue arises, Zabbix detects the alert, and the AI assistant processes logs, configurations, and network metrics to determine potential root causes. It then generates detailed recommendations for resolution, helping IT teams act faster and prevent prolonged downtime. The system also supports predictive analytics, identifying trends that may lead to future network failures and suggesting proactive solutions. This AI-enhanced network management drastically reduces IT workload, optimizes resource allocation, and ensures continuous, high-quality connectivity for students, teachers, and administrators. By making network troubleshooting faster and smarter, our project empowers schools with self-healing, AI-driven infrastructure that supports modern education and digital transformation. 🚀

    SupplyGenius Pro

    SupplyGenius Pro

    Core Features 1. Document Processing & Analysis - Automated analysis of supply chain documents - Extraction of key information (parties, dates, terms) - Compliance status verification - Confidence scoring for extracted data 2. Demand Forecasting & Planning - AI-powered demand prediction - Time series analysis with confidence intervals - Seasonal pattern recognition - Multi-model ensemble forecasting (LSTM, Random Forest) 3.Inventory Optimization - Real-time inventory level monitoring - Dynamic reorder point calculation - Holding cost optimization - Stockout risk prevention 4. Risk Management - Supply chain disruption simulation - Real-time risk monitoring - Automated mitigation strategy generation - Risk score calculation 5. Supplier Management - Supplier performance tracking - Lead time optimization - Pricing analysis - Automated purchase order generation 6. Financial Analytics - ROI calculation - Cost optimization analysis - Financial impact assessment - Budget forecasting 7. Real-time Monitoring - Live metrics dashboard - WebSocket-based alerts - Performance monitoring - System health tracking 8. Security Features - JWT-based authentication - Role-based access control - Rate limiting - Secure API endpoints -- Technical Capabilities 1. AI Integration - IBM Granite 13B model integration - RAG (Retrieval Augmented Generation) - Custom AI toolchains - Machine learning pipelines 2. Data Processing - Real-time data processing - Time series analysis - Statistical modeling - Data visualization 3. Performance Optimization - Redis caching - Async operations - Rate limiting - Load balancing 4. Monitoring & Logging - Prometheus metrics - Detailed logging - Performance tracking - Error handling

    TriRED LM

    TriRED LM

    Core Architecture The system is built on three primary layers: Distributed Intelligence Layer Implements triple redundancy using three independent LLM nodes Each node runs a quantized, space-optimized language model Independent RAG (Retrieval Augmented Generation) modules per node Isolated memory and processing resources Individual vector databases for context retrieval Knowledge Management Layer Consensus Layer Advanced NLP-based response similarity analysis Majority voting with semantic understanding Automatic anomaly detection and filtering Graceful degradation under node failures Key Innovations Semantic Consensus Protocol Novel approach to comparing LLM outputs Handles natural language variance Maintains reliability under partial failures Lightweight but capable inference engine Distributed RAG Implementation Synchronized vector databases Consistent knowledge access Redundant information retrieval Failure Recovery Automatic node health monitoring Self-healing capabilities Graceful performance degradation Zero-downtime recovery Implementation Details Docker-based containerization for isolation gRPC for high-performance inter-node communication FAISS for efficient vector similarity search Sentence-BERT for response embedding Custom consensus protocols for LLM output validation The system is specifically designed to operate in space environments where traditional AI systems would fail due to radiation effects, resource constraints, or hardware failures. It provides mission-critical reliability while maintaining the advanced capabilities of modern LLMs.

    ReproPlan

    ReproPlan

    ReproPlan is an innovative, AI-powered reproductive health app designed to provide comprehensive, accessible, and personalized SRHR education and services. In Ghana and other regions where access to sexual and reproductive health information and services is limited, ReproPlan is designed to address these gaps through an easy-to-use, digital platform. The platform offers comprehensive SRHR information, contraceptive education, personalized support through chatbots, and locator services to connect users to nearby healthcare facilities. Additionally, ReproPlan facilitates last-mile delivery of contraceptives, ensuring that individuals who may not be able to access them through traditional channels can receive them directly. With the power of AI, ReproPlan tailors the experience to each user’s needs, promoting empowerment and informed decision-making regarding reproductive health. Our target audience includes adolescents and young women, particularly those living in underserved areas with limited access to SRHR education and services.