01 Synopsis
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- Only 1 diagram included
- Problem statement & objectives
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MSc Project Report
MSc Business Intelligence Education Sector Final Year Project Report
Complete MSc final-year project report with documentation, diagrams and viva-ready structure. Instant PDF & Word download — plagiarism-free and faculty-aligned.
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02 Pre Defined Project Report
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- ER Diagram & DFD Diagrams
- Up to 8 diagrams included
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03 Customized Report
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04 Originality Reviewed
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Abstract
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Table of Content
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01
Introduction
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02
Problem Statement
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03
Existing System
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04
Proposed System
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05
Objectives
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06
System Architecture
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07
Major Functional Modules
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08
Hardware Requirements
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09
Software Requirements
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10
Future Enhancement
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11
Conclusion
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12
References
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Abstract
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—
Table of Content
-
01
Chapter 1 — Introduction
- 1.1 Background of the Project
- 1.2 Problem Statement
- 1.3 Objectives of the System
- 1.4 Scope of the Project
- 1.5 Existing System Overview
- 1.6 Proposed System Overview
- 1.7 Technologies Used
- 1.8 Overview
- 1.9 Limitations
- 1.10 Advantages
- 1.11 Disadvantages
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02
Chapter 2 — Literature Review / System Study
- 2.1 Introduction
- 2.2 Review of Similar Systems
- 2.3 Comparative Analysis
- 2.4 Software Development Models
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03
Chapter 3 — System Analysis
- 3.1 Introduction
- 3.2 Functional Requirements
- 3.3 Non-Functional Requirements
- 3.4 User Requirements
- 3.5 Feasibility Study
- 3.5.1 Technical Feasibility
- 3.5.2 Economic Feasibility
- 3.5.3 Operational Feasibility
- 3.6 System Architecture
- 3.7 Data Flow Diagram (Level 0)
- 3.8 Data Flow Diagram (Level 1)
- 3.9 Data Flow Diagram (Level 2)
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04
Chapter 4 — System Design
- 4.1 Introduction
- 4.2 Use Case Diagram
- 4.3 Class Diagram
- 4.4 Sequence Diagram
- 4.5 Activity Diagram
- 4.6 ER Diagram
- 4.7 Database Schema
- 4.8 Table Structures
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05
Chapter 5 — System Implementation
- 5.1 Introduction
- 5.2 Development Environment
- 5.3 Tools and Technologies Used
- 5.4 Hardware Requirements
- 5.5 Software Requirements
- 5.6 Module-wise Implementation
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06
Chapter 6 — Testing
- 6.1 Introduction
- 6.2 Testing Strategy
- 6.3 Unit Testing
- 6.4 Integration Testing
- 6.5 System Testing
- 6.6 Test Cases
- 6.7 Bug Reports
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07
Chapter 7 — Results and Discussion
- All screenshots
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08
Chapter 8 — Conclusion and Future Enhancements
- 8.1 Conclusion
- 8.2 Future Enhancements
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09
Chapter 9 — References
Project's Overview
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.
Login Credentials
Administrator Account
- Email:
[email protected] - Password:
ADMIN@metro
Department Head / Faculty Account
- Email:
[email protected] - Password:
Head@metro
Teacher Accounts
- Email:
[email protected] - Password:
Teach@metro - Email:
[email protected] - Password:
Teach@metro
Student Accounts
- Email:
[email protected] - Password:
Learn@metro - Email:
[email protected] - Password:
Learn@metro - Email:
[email protected] - Password:
Learn@metro - Email:
[email protected] - Password:
Learn@metro
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- Admin login and logout in this final year project
- Executive dashboard with KPI tiles
- View users, students, teaching personas, courses, AI reports, and insights
- View stewardship activity log
- Real-time BI dashboard
- View low-attendance learners
- View weak subject indicators
- View top students snapshot
- View recent risk predictions
- Charts and heatmaps dashboard
- Course-level attainment average charts
- Department-wise student count charts
- Attendance trend charts
- Institution brand management
- Update institution name
- Update address and contact details
- Update theme colours
- Upload institution logo
- User CRUD management
- Add platform users
- Edit platform users
- Delete platform users
- Manage roles: admin, department head, teacher, student
- Rotate user passwords
- Auto-provision linked student or teacher records
- Department CRUD management
- Add department
- Edit department
- Delete department when not referenced
- Student CRUD management
- Add learner dossier
- Edit learner details
- Delete learner dossier
- Attach orphan student user rows
- Purge student dossier and related enrollment data
- View student performance drill-down
- Teacher CRUD management
- Add teacher/faculty profile
- Edit teacher details
- Delete teacher profile
- Assign teacher to department
- Free course teacher references on safe removal
- Course CRUD management
- Add course or subject
- Edit course details
- Delete course with related enrollment cleanup
- Manage course code, name, credits, description, department, and assigned teacher
- Enrollment CRUD management
- Bind student, course, and semester
- Enforce unique enrollment
- Add opening attendance row during enrollment
- Add diagnostic mark during enrollment
- Delete enrollment with linked attendance and marks cleanup
- CSV/Excel data ingestion
- Upload attendance sheets
- Upload marks sheets
- Parse CSV files
- Parse XLSX/XLS files
- Store DataUpload audit rows
- Delete upload log metadata
- Attendance record management
- Create attendance record
- Update attendance record
- Delete attendance record
- Manage enrollment, date, presence, and topic
- Marks and exam management
- Create marks record
- Update marks record
- Delete marks record
- Manage exam, assignment, and internal mark types
- View portfolio mean KPI
- AI performance briefing
- Generate governance council narrative
- View OpenAI configuration audit card
- AI report factory
- Generate archival AI reports
- Store generated report body and generation dossier
- Delete archived generated report
- ML prediction bulk run
- Recompute StudentRiskPrediction rows for all students
- Recommendation management
- Add recommendations
- Edit recommendations
- Delete recommendations
- Generate AI draft recommendations
- Manage cohort or user-targeted recommendations
- AI insight library management
- Add AI insight bulletin
- Edit AI insight
- Delete AI insight
- Notification centre
- Broadcast notifications to all users
- Broadcast notifications to learners only
- Broadcast notifications to faculty and department heads
- Browse recent notification rows
- Delete notification audit lines
- Export management
- Export students CSV
- Export attendance template CSV
- Export marks template CSV
- Export executive summary PDF
- Feedback inbox
- View stakeholder feedback
- Delete feedback entries
- Case study management
- Literature item management
- Guideline management
- Platform settings management
- Update academic year label
- Manage grading nomenclature toggles
- Configure notification placeholders
- Configure backup placeholders
- Store OpenAI API key setting
- View effective OpenAI runtime summary
Student Features in this Final Year Project
- Student login and logout
- Student dashboard
- View learner KPIs
- View recent notifications
- View recommendations
- View risk snapshot tile
- View profile details
- Update identity details
- Update phone number
- Update programme/year fields
- Change password with current password check
- View user-owned generated reports
- Download PDF reports
- View notification mailbox
- Mark notification as read
- Mark all notifications as read
- Submit feedback
- View own feedback entries
- Delete own feedback tickets
- Use AI helpdesk for BI or study-plan Q&A
- View enrolled courses
- Open enrollment dossier
- View course sessions
- View assessment details
- View attendance rollup
- View marks ledger
- View normalized marks vs attendance charts
- View AI coaching suggestions
- View performance-context-grounded briefing
- View risk sentinel alerts
- View attendance composite flags
- View attainment index threshold alerts
Faculty / Department Head Features in this Final Year Project
- Faculty login and logout
- Faculty dashboard with teaching KPIs
- View recent notifications and recommendations
- Manage profile and credentials
- View assigned courses
- Open faculty course roster
- View learners enrolled in course
- View simple KPI aggregates
- Quick attendance data entry
- Quick marks data entry
- Capture AttendanceRecord rows
- Capture Mark rows
- Manage gradebook
- Edit attendance and marks owned by teacher
- Delete attendance and marks with confirmation
- View class analytics
- View weak learner buckets
- View strong learner buckets
- Open learner roster context
- Submit feedback
- Access reports and notifications
- Use AI helpdesk
Public Website Features in this Final Year Project
- Public marketing landing page
- Institution-oriented project introduction
- Login call-to-action
- Register call-to-action
- Public navigation
- Role-based authentication flow
- Student registration
- Teacher registration
- Auto-provision student code
- Auto-provision teacher code
- Login with role-aware redirect
- Admin redirect to
/admin/dashboard - Non-admin redirect to
/app/dashboard - Responsive Bootstrap 5 interface
AI / Machine Learning Features in this Final Year Project
- scikit-learn based student risk scoring
- StudentRiskPrediction generation
- Bulk ML prediction for all students
- Dropout-risk heuristic support
- Learning analytics indicators
- Attendance and marks based risk signals
- Optional OpenAI-powered AI copilot
- Offline deterministic fallback briefing
- AI performance briefing
- AI report generation
- AI recommendation drafting
- AI coaching suggestions
- AI helpdesk for students and faculty
- Completion audit metadata
- Effective OpenAI runtime summary
- Environment variable based OpenAI configuration
- Admin platform setting for OpenAI key
- OpenAI fallback when key or SDK fails
- Complete business intelligence education sector source code
- Suitable for final year project, major project, and minor project
- Project report content can be prepared from included modules
- Public Website, Admin Command Centre, and Learner/Faculty Workspace included
- Role-based access for admin, department head, teacher, and student
- Education analytics dashboard
- Student performance monitoring
- Attendance management
- Marks and exam management
- Course and enrollment management
- Faculty roster management
- Gradebook management
- CSV/Excel ingestion
- PDF and CSV export support
- ML-based student risk prediction
- Optional AI copilot support
- Offline AI fallback support
- Notifications system
- Feedback system
- Research artefact management
- Institution branding management
- Flask application factory architecture
- SQLite default database
- SQLAlchemy ORM support
- Flask-Login authentication
- Flask-WTF form validation
- Werkzeug password hashing
- Bootstrap 5 frontend
- Chart.js learner graphs
- Seed data included
- Useful for viva, source code review, project report writing, and project demonstration
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Open 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
README Included
Setup Support Available
Administrator Account
- Email:
[email protected] - Password:
ADMIN@metro
Department Head / Faculty Account
- Email:
[email protected] - Password:
Head@metro
Teacher Accounts
- Email:
[email protected] - Password:
Teach@metro - Email:
[email protected] - Password:
Teach@metro
Student Accounts
- Email:
[email protected] - Password:
Learn@metro - Email:
[email protected] - Password:
Learn@metro - Email:
[email protected] - Password:
Learn@metro - Email:
[email protected] - Password:
Learn@metro