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Blg-amina/streamlit-sales-dashboard

Domain:

socioeconomic
Creator:
Blg
Host:
# πŸ“Š AI-Driven Business Analytics Dashboard: Academic Case Study ### πŸ›οΈ Faculty of Economics & Management Science - University of Ain Temouchent This high-end Business Intelligence (BI) dashboard was developed as a primary instructional tool for the **Artificial Intelligence Module (Academic Year 2025-2026)**. It serves as a real-world demonstration of how AI-driven decision support systems can transform raw data into strategic insights within the Algerian economic landscape. ## πŸš€ Live Demo **Click here to view the live dashboard** --- ## πŸŽ“ Academic Context As a **Visiting Lecturer** specializing in Artificial Intelligence, I designed this project to bridge the gap between theoretical data science and practical industry applications for Master 2 Management & Economics students. - **Institution:** University of Ain Temouchent (Algeria). - **Faculty:** Economics, Commercial, and Management Sciences. - **Module:** Artificial Intelligence & Decision Support Systems. - **Developer/Lecturer:** Amina Belaggoun. --- ## πŸš€ Key Features - **🌍 Regional Localization:** Fully adapted for the Algerian market with **DZD (Algerian Dinar)** currency and regional data (Ain Temouchent, Oran, Algiers). - **🎨 Dark Luxe UI:** A custom-engineered, premium dark interface focusing on high-contrast typography and professional aesthetics. - **πŸ€– AI Predictive Insights:** A specialized analytical layer that dynamically computes: - **Peak Sales Hour:** Identifying optimal operational timing. - **Top Growth Sector:** Predictive recommendations for resource allocation. - **πŸ“ˆ Interactive KPIs:** Real-time tracking of Total Revenue, Average Transaction Value, and Customer Satisfaction Ratings. --- ## πŸ“Έ Project Showcase ### 1. Executive Dashboard & KPIs *Real-time tracking of financial metrics and performance indicators formatted for the Algerian market.* ### 2. Market Segmentation Analysis *Detailed visual breakdown of sales distribution by hour and product line performance.* ### 3. …