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- Complete project source code
- Database / data resources
- Dependencies & configuration
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Complete final-year project source code with frontend, backend, database and setup documentation. Instant download after secure payment.
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02 Code + Setup Support
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Business Intelligence Education Sector is a Python Flask based final year project developed for institutional learning analytics, student performance monitoring, faculty management, course tracking, attendance analysis, marks management, dropout-risk prediction, AI-assisted reporting, and academic decision-making. This major project includes a public landing page, admin command centre, and role-based learner/faculty workspace. Admins can manage users, departments, students, teachers, courses, enrollments, attendance, marks, data uploads, AI reports, ML predictions, recommendations, insights, notifications, exports, feedback, case studies, literature, guidelines, brand settings, and platform configuration. Students can view courses, attendance, marks, charts, reports, notifications, AI coaching, feedback, and risk alerts. Faculty users can manage course rosters, attendance records, marks, gradebook entries, and class analytics. This business intelligence education project source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python Flask, AI, ML, and education analytics.
Administrator Account
[email protected]ADMIN@metroDepartment Head / Faculty Account
[email protected]Head@metroTeacher Accounts
[email protected]Teach@metro[email protected]Teach@metroStudent Accounts
[email protected]Learn@metro[email protected]Learn@metro[email protected]Learn@metro[email protected]Learn@metro/admin/dashboard/app/dashboardOpen project root folder:
cd "Business Intelligence 2.0 AI and ML Based Real-Time Decision-Making System for Education Sector"
Create virtual environment on Windows:
python -m venv .venv
.\.venv\Scripts\Activate.ps1
Create virtual environment on Linux/macOS:
python -m venv .venv
source .venv/bin/activate
Install dependencies:
pip install -r requirements.txt
Seed demo database:
python seed_db.py
Run project:
python run.py
Open application:
http://127.0.0.1:5000
To reset demo data, stop server and delete:
edu_bi20.db
Run again:
python seed_db.py
python run.py
Administrator Account
[email protected]ADMIN@metroDepartment Head / Faculty Account
[email protected]Head@metroTeacher Accounts
[email protected]Teach@metro[email protected]Teach@metroStudent Accounts
[email protected]Learn@metro[email protected]Learn@metro[email protected]Learn@metro[email protected]Learn@metro