app.py

import streamlit as st
import pandas as pd

# Title of the app
st.title("AI-Powered Solutions for the Telecommunication Industry in Underserved Areas")

# Sidebar for navigation
st.sidebar.title("Navigation")
options = st.sidebar.radio("Choose a solution:", [
    "Network Optimization",
    "Predictive Maintenance",
    "Dynamic Spectrum Management",
    "Energy Efficiency",
    "Customer Support"
])

# Network Optimization
if options == "Network Optimization":
    st.header("AI-Driven Network Planning")
    st.write("AI optimizes the placement of cell towers for maximum coverage in underserved areas.")
    
    # Simulate tower placement on a map
    st.subheader("Simulated Tower Placement")
    data = {
        "Latitude": [10.0, 10.5, 11.0, 11.5],
        "Longitude": [76.0, 76.5, 77.0, 77.5],
        "Coverage Radius (km)": [5, 7, 6, 8]
    }
    df = pd.DataFrame(data)
    
    # Rename columns to match Streamlit's expected format
    df = df.rename(columns={"Latitude": "lat", "Longitude": "lon"})
    
    # Display the map
    st.map(df)

# Predictive Maintenance
elif options == "Predictive Maintenance":
    st.header("Predictive Maintenance with AI")
    st.write("AI predicts equipment failures to reduce downtime and maintenance costs.")
    
    # Simulate failure predictions
    st.subheader("Equipment Failure Predictions")
    equipment_data = {
        "Equipment ID": [1, 2, 3, 4],
        "Failure Probability (%)": [10, 25, 5, 50]
    }
    df = pd.DataFrame(equipment_data)
    st.bar_chart(df.set_index("Equipment ID"))

# Dynamic Spectrum Management
elif options == "Dynamic Spectrum Management":
    st.header("AI for Dynamic Spectrum Allocation")
    st.write("AI dynamically allocates spectrum resources to reduce congestion and improve efficiency.")
    
    # Simulate spectrum allocation
    st.subheader("Spectrum Usage Over Time")
    spectrum_data = {
        "Time (hours)": [1, 2, 3, 4, 5],
        "Spectrum Utilization (%)": [30, 50, 70, 60, 40]
    }
    df = pd.DataFrame(spectrum_data)
    st.line_chart(df.set_index("Time (hours)"))

# Energy Efficiency
elif options == "Energy Efficiency":
    st.header("AI for Energy Optimization")
    st.write("AI optimizes energy consumption in telecom infrastructure using renewable energy sources.")
    
    # Simulate energy usage
    st.subheader("Energy Consumption Over Time")
    energy_data = {
        "Time (hours)": [1, 2, 3, 4, 5],
        "Energy Consumption (kWh)": [100, 80, 90, 70, 60]
    }
    df = pd.DataFrame(energy_data)
    st.area_chart(df.set_index("Time (hours)"))

# Customer Support
elif options == "Customer Support":
    st.header("AI-Powered Customer Support")
    st.write("AI chatbots provide 24/7 support for users in underserved areas.")
    
    # Simulate a chatbot
    st.subheader("Chatbot Demo")
    user_input = st.text_input("Ask a question:")
    if user_input:
        st.write(f"AI Response: Thank you for your question! We will assist you shortly.")