AI Predictive Network Monitoring Platform
Budget: $250 – $750 USD
Project Description (Professional English – optimized for Freelancer):
We are seeking an experienced full-stack developer (or small team) to design and build a unified intelligent monitoring platform called CITD AstroCoreNet.
The goal is to create a real-time monitoring and analytics system for network infrastructure (routers, switches, firewalls – Palo Alto) and servers (Windows, Linux, VMs, and Cloud).
Core Objectives:
Centralized monitoring of 40+ branches through interactive 3D globe visualization with GPS-based branch mapping.
Continuous health checks (ICMP, SNMP, Syslog, API) every 30–60 seconds.
AI-driven log analysis and predictive diagnostics to detect, analyze, and suggest solutions before outages occur.
Unified dashboard for performance KPIs, utilization, and incident correlation.
Multi-language support (Arabic & English).
Key Features:
Device Monitoring:
Real-time availability, latency, bandwidth, and error tracking.
Status classification (UP / Warning / Down / Unknown).
AI Assistant Integration:
Automated log ingestion and analysis using LLM-based reasoning.
Contextual recommendations before and during incidents.
Suggestive remediation actions (restart, failover, route change, etc.).
Administration:
Branch CRUD operations with Excel import/export (city, name, IP, ISP, bandwidth).
User management with RBAC (Viewer, Operator, Admin).
Audit trails and access history.
Reporting & Insights:
Device-level and branch-level reports (uptime %, MTTR, SLA compliance).
Predictive outage reports and AI-generated recommendations.
Exportable to PDF, XLSX, CSV.
Visualization:
Interactive 3D Earth dashboard (zoom, rotate, click-to-inspect).
Color-coded nodes per device/branch.
Optional skyline or map-view per region.
Integration & Scalability:
Modular backend with REST/GraphQL APIs.
Support for local and cloud deployment.
Secure data handling (encryption, redaction, GDPR-ready).
Deliverables:
Fully functional prototype ready for pilot deployment.
Source code, documentation, and database schema.
Optional Docker-ready build.
One-month post-delivery bug support.
Preferred Skills:
Python, Node.js, or Go (Backend)
React, Vue.js, or Angular (Frontend)
AI/ML experience (log parsing, predictive modeling, LLM integration)
3D/Map frameworks (Three.js, Cesium, Mapbox GL)
Networking experience (SNMP, ICMP, APIs)
Bid Instructions:
Start your proposal with the code ASTRO-2025 to confirm you’ve read the full brief.
Please provide a short architectural outline, estimated milestones, and cost breakdown.
All intellectual property and code will be transferred to the client upon final payment.
We are seeking an experienced full-stack developer (or small team) to design and build a unified intelligent monitoring platform called CITD AstroCoreNet.
The goal is to create a real-time monitoring and analytics system for network infrastructure (routers, switches, firewalls – Palo Alto) and servers (Windows, Linux, VMs, and Cloud).
Core Objectives:
Centralized monitoring of 40+ branches through interactive 3D globe visualization with GPS-based branch mapping.
Continuous health checks (ICMP, SNMP, Syslog, API) every 30–60 seconds.
AI-driven log analysis and predictive diagnostics to detect, analyze, and suggest solutions before outages occur.
Unified dashboard for performance KPIs, utilization, and incident correlation.
Multi-language support (Arabic & English).
Key Features:
Device Monitoring:
Real-time availability, latency, bandwidth, and error tracking.
Status classification (UP / Warning / Down / Unknown).
AI Assistant Integration:
Automated log ingestion and analysis using LLM-based reasoning.
Contextual recommendations before and during incidents.
Suggestive remediation actions (restart, failover, route change, etc.).
Administration:
Branch CRUD operations with Excel import/export (city, name, IP, ISP, bandwidth).
User management with RBAC (Viewer, Operator, Admin).
Audit trails and access history.
Reporting & Insights:
Device-level and branch-level reports (uptime %, MTTR, SLA compliance).
Predictive outage reports and AI-generated recommendations.
Exportable to PDF, XLSX, CSV.
Visualization:
Interactive 3D Earth dashboard (zoom, rotate, click-to-inspect).
Color-coded nodes per device/branch.
Optional skyline or map-view per region.
Integration & Scalability:
Modular backend with REST/GraphQL APIs.
Support for local and cloud deployment.
Secure data handling (encryption, redaction, GDPR-ready).
Deliverables:
Fully functional prototype ready for pilot deployment.
Source code, documentation, and database schema.
Optional Docker-ready build.
One-month post-delivery bug support.
Preferred Skills:
Python, Node.js, or Go (Backend)
React, Vue.js, or Angular (Frontend)
AI/ML experience (log parsing, predictive modeling, LLM integration)
3D/Map frameworks (Three.js, Cesium, Mapbox GL)
Networking experience (SNMP, ICMP, APIs)
Bid Instructions:
Start your proposal with the code ASTRO-2025 to confirm you’ve read the full brief.
Please provide a short architectural outline, estimated milestones, and cost breakdown.
All intellectual property and code will be transferred to the client upon final payment.