RAY23TECH/fibrewatch-ai

Predictive fibre cut risk intelligence for Airtel Nigeria-3MTT Knowledge showcase 2026 # 📡 FibreWatch AI > **Predictive Fibre Cut Risk Intelligence for Airtel Nigeria** > 3MTT Knowledge Showcase 2026 · NextGen Cohort · FEED Pillar: **Digital Inclusion** --- ## 🔴 The Problem Airtel Nigeria faces an average of **43 fibre cuts per day**, with ~90% of damage concentrated in Abuja alone — caused by road construction, vandalism, and poor coordination between contractors and telecoms operators. The current response is **reactive**: patrol teams are dispatched *after* the damage occurs, leaving millions of Nigerians — especially in rural and underserved communities — without connectivity for hours or days. > **There is no proactive, data-driven system to predict where the next fibre cut will happen before it does.** FibreWatch AI changes that. --- ## 💡 The Solution FibreWatch AI is a **machine learning-powered risk dashboard** that: - 🗺️ **Clusters** historical fibre cut locations into spatial hotspots using **DBSCAN** - 🤖 **Predicts** cut probability per corridor using a **Random Forest classifier** - 📊 **Visualises** risk zones on an interactive **Nigeria heatmap** - 🚨 **Alerts** network operations teams to HIGH-risk zones before cuts occur - 📡 **Runs on low bandwidth** — built with Streamlit, deployable on any device --- ## 🖥️ Dashboard Preview ``` ┌─────────────────────────────────────────────────────────┐ │ 📡 FibreWatch AI | Airtel Nigeria Network Ops │ ├──────────────┬──────────────┬──────────────┬────────────┤ │ 🔴 High Risk │ ⚠️ Overdue │ 📍 Hotspot │ 🎯 Model │ │ Zones: 47 │ Patrols: 23 │ Clusters: 8 │ Acc: 84% │ ├──────────────┴──────────────┴──────────────┴────────────┤ │ │ │ [ INTERACTIVE NIGERIA RISK HEATMAP ] │ │ 🔴 High 🟡 Medium 🟢 Low │ │ │ ├──────────────────────────┬──────────────────────────────┤ │ 🚨 Top Priority Zones │ 📊 Feature Importanc …