A Model Context Protocol (MCP) server that provides structured spec-driven development workflow tools for AI-assisted software development, featuring a real-time web dashboard and VSCode extension for monitoring and managing your project's progress directly in your development environment.

A feature-rich mobile dashboard for Antigravity IDE that lets you stream live AI conversations, monitor model quotas, and browse or edit workspace files from any device on your local network. Includes a distraction-free Lite Mode and optional PIN security.

Polymarket Trading Bot — Autonomous AI prediction market bot with multi-model ensemble forecasting (GPT-4o, Claude, Gemini), automated research engine, 15+ risk checks, whale tracking, fractional Kelly sizing, and real-time 9-tab monitoring dashboard. Paper & live trading. Open source.

A powerful, self-extending MCP server for dynamic AI tool orchestration. Features sandboxed JS execution, capability-based security, automated rate limiting, marketplace integration, and a built-in monitoring dashboard. Built for the Model Context Protocol (MCP).

AI orbit monitor — papers, models, benchmarks, company news in one dashboard. 40+ sources, LMArena leaderboard, local LLM summary.

Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards

📱 Monitor your AI conversations and model quotas effortlessly with Antigravity Mobile, a mobile-friendly dashboard for Antigravity IDE.

VirusProtect is a cutting-edge, full-stack security dashboard designed to scan files, analyze project secrecy leaks, and monitor web applications. It integrates advanced AI models (Claude, Gemini, GPT-4, DeepSeek, Grok, Ollama) to explain threats and recommend fixes.

Apache 2.0-licensed open source operations stack for private AI inference with open models. Run LLMs (7B-70B) locally with vLLM, OpenAI-compatible API, web dashboard, chat UI, admin panel, and hardware monitoring.

Heimdall is an AI-powered threat monitoring system that classifies live network traffic in real time using machine learning. It streams packet data via Apache Kafka, applies adaptive models to detect malicious activity, and visualizes results through a Flask-based dashboard, continuously improving through incremental retraining.

An AI Baby Cry Monitor with a Python backend (app.py) and Keras model (baby_cry_model.h5) for live audio analysis. It detects cries in real-time, logs events to an SQLite database (baby_monitor.db), and displays the status on a web dashboard (dashboard.html).

Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards

Agentium is an AI governance platform built to control, monitor, and orchestrate AI agents, running via Docker on any computer, server, or cloud. It features a powerful web dashboard and enables communication through WhatsApp, Slack, and other platforms using a democratic governance model for safe, transparent automation at scale.

An AI-powered OCR (Optical Character Recognition) system designed to digitize historical and regional language manuscripts with real-time retraining, live monitoring dashboard, model versioning, and self-learning capabilities — fully powered on Raspberry Pi. (Final Year Project)

OpenClaw Monitor: A dedicated real-time dashboard to visualize OpenClaw AI agents and sub-agents. Easily track active sessions, token consumption, and model performance for both the main agent and sub-agents.

MCP Monitor intercepts every tool call made by an AI agent — whether the agent uses the Model Context Protocol (MCP) or calls Python functions directly — and surfaces metrics, session replays, and alerts through a local web dashboard.

A real-time security monitoring system that combines the ELK Stack (Elasticsearch, Logstash, Kibana) with Ollama's AI models (like Phi-3-mini) to automatically detect and analyze security threats in logs. Ideal for identifying brute-force attacks, SQLi, XSS, and more—with actionable insights visualized in Kibana dashboards.

An AI-driven Network Intrusion Detection System utilizing CNN and LSTM models trained on the UNSW-NB15 dataset to detect and classify malicious traffic with high precision. It features a web-based dashboard for real-time monitoring, offering both binary and multi-class classification to secure networks against diverse cyber threats.

Real-time AI model monitoring pipeline using FastAPI, Python, and Power BI to track prediction metrics and system performance.

AI-powered dashboard for real-time model performance, fairness, explainability, and bias impact monitoring.

CivixSense-AI is a real-time crowd detection and monitoring system using hybrid YOLOv8 models. It supports multi-camera feeds, region of interest (ROI) selection, adaptive alerts, and per-camera sound notifications, all managed via a live web dashboard with GPU acceleration for smart surveillance.

Smart City Issue Detection & Reporting System is an end-to-end AI web app that detects and classifies urban issues like potholes, garbage, and broken lights using CNN/YOLO models. Citizens upload images, the system predicts issue type and severity, and results appear on an admin dashboard for real-time monitoring and efficient city management.

AI Monitoring Dashboard for healthcare models.

AI-powered platform for real-time control, monitoring, and forecasting of solar and wind energy systems. Combines ML models, IoT sensors, and a smart dashboard for optimizing renewable energy operations

AI-native model release monitoring with structured summaries, dashboard, and notifications

SecureSwipe - An AI-powered fraud detection system for payment transactions. It monitors UPI, net banking, and card payments in real time to identify anomalies using machine learning. Features predictive analytics dashboards to visualize current fraud trends and project improvements after model deployment.

A lightweight static dashboard for monitoring AI model usage, managing providers, and configuring fallback chains in OpenClaw gateway.

Comprehensive API Usage Dashboard for monitoring AI model consumption across multiple providers with real-time tracking and budget management

ai-model-sentinel: Lightweight open-source toolkit for monitoring AI models in production. Detects data drift, performance issues, and provides actionable retraining recommendations. Features smart alerts, dashboard visualization, and works with any ML framework.

Complete OpenRouter AI ecosystem with 44 FREE models, zero-cost operations, and revenue generation dashboards. Includes CLAUDASH monetization hub, CLAUCODER development tools, and comprehensive monitoring systems.