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BCA Project Report
BCA Medical Inventory Billing Final Year Python Project Report
Complete BCA final-year project report with documentation, diagrams and viva-ready structure. Instant PDF & Word download — plagiarism-free and faculty-aligned.
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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
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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
MedInventory Pro is a final year project built with Python Flask and SQLite for students who want a practical pharmacy inventory and medical billing web application. This final year project includes separate administrator and staff panels with role-based access. Administrators can manage brands, categories, suppliers, medicines, customers, stock, purchases, expiry lists, bills, returns, sales reports, analytics, and staff users. Staff users can work from a counter-style dashboard, browse medicines, create customers, generate POS-style bills, print receipts, process returns for their own bills, and monitor stock status. The system supports discounts, tax, auto bill numbers, printable bills, stock decrementing, return restocking, expiry tracking, Chart.js analytics, and dynamic reports. It is suitable for a final year major project in Flask, pharmacy management, inventory control, and billing systems.
Login Credentials
Auto-created Administrator
- Username:
admin - Password:
admin123
Demonstration Staff
Only after running seed_data.py:
- Username:
staff1 - Password:
staff123 - Display name: Riya Sharma
- Username:
staff2 - Password:
staff123
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- Admin dashboard for this final year project with KPIs, shortcuts, and recent activity summaries
- Brand CRUD with list, create, detail, edit, and delete
- Category CRUD with same management pattern
- Supplier CRUD with contact and company fields
- Medicine CRUD with brand, category, supplier, batch, MFG date, expiry date, prices, quantity, minimum stock, and description
- Customer CRUD with bill history
- Consolidated stock index
- Low-stock, out-of-stock, and expired medicine views
- Manual stock add and stock level update actions
- Expired stock removal based on route business rules
- Purchase record management with supplier, medicine, quantity, price, and date
- Expiry-focused listing and tools
- Bill list, create bill, bill detail, and print view
- Sales overview with medicine-wise, daily, and monthly breakdowns
- Return record listing and new return flow
- Dynamic reports for stock, low stock, expired stock, purchases, sales, customers, suppliers, profit, and billing
- Analytics dashboard with revenue, estimated profit, stock value, expiry loss, best sellers, and low rotation lists
- Staff user create, detail, edit, active toggle, and delete where allowed
- Admin password change
- Staff dashboard in this final year project with SKUs available, today’s bill count, revenue, recent own bills, and low-stock watch
- Read-only medicine catalogue with search, brand filter, and category filter
- Medicine detail page with supplier, prices, batch, expiry, stock, and notes
- Customer directory with search
- Customer creation
- Customer profile with own issued bills and revenue
- Customer profile editing
- POS-style billing with customer, multi-line medicines, discount, tax, and notes
- Automatic stock decrement on bill save
- Own bill detail with line items, totals, and notes
- Printable receipt for own bills
- Personal sales history with bill number, customer name, and date filters
- Stock views for all, low, expired, and expiring within 60 days
- Return log for own returns
- New return flow using own bill, bill line API, quantity, and reason
- SKU restocking and refund record creation during returns
- Staff profile update
- Staff password change
- Public landing page included in this final year project
- Role-based redirection after login
- SQLite database created automatically
- Auto-created default admin if missing
- Optional demo seed data loader
- Bill numbers generated with daily prefix
- Indian rupee formatting in templates
- Bootstrap 5 and Bootstrap Icons UI
- Chart.js visual analytics
- Internal JSON API for return and billing helpers
- Pagination helpers for admin and staff lists
- Printable bill and receipt pages
- Suitable for final year project demo, viva, source code review, and report preparation
- Open the final year project folder:
cd "path/to/Medical Inventory & Billing System with Analytics" - Create a virtual environment:
- Windows:
python -m venv .venv - macOS/Linux:
python3 -m venv .venv
- Windows:
- Activate the environment:
- Windows:
.\.venv\Scripts\Activate.ps1 - macOS/Linux:
source .venv/bin/activate
- Windows:
- Install dependencies:
pip install -r requirements.txt - Optional: load demo data:
python seed_data.py - Start the final year Flask project:
python run.py - Open the application at:
http://127.0.0.1:5000 - Open
/loginand use admin or staff credentials.
README Included
Setup Support Available
Auto-created Administrator
- Username:
admin - Password:
admin123
Demonstration Staff
Only after running seed_data.py:
- Username:
staff1 - Password:
staff123 - Display name: Riya Sharma
- Username:
staff2 - Password:
staff123