✅ 1. User Management Module
🔹 Submodules:
-
User Registration & Login
-
Role-based Access Control (Admin, Staff, Donor, Recipient, Hospital, Lab)
-
Profile Management
🔸 Functions:
-
Register new users (donors, recipients, staff, hospitals)
-
Login/logout
-
Edit/update profile
-
Change password / forgot password
-
Verify identity (OTP/email/SMS)
✅ 2. Blood Inventory Management
🔹 Submodules:
🔸 Functions:
-
Add new blood units (with type, RH factor, expiry)
-
Remove expired/damaged units
-
View available units by group and location
-
Track inventory level alerts (low/high)
-
Barcode generation for units
✅ 3. Donation Management
🔹 Submodules:
-
Donor Scheduling
-
Donation History
-
Eligibility Checking
🔸 Functions:
-
Book donation appointment (calendar integration)
-
Send reminders to donors
-
Maintain donation records
-
Check donor eligibility (health, last donation date)
-
Generate donation certificate
✅ 4. Request Management
🔹 Submodules:
🔸 Functions:
-
Submit blood request form (group, quantity, urgency)
-
Approve/reject requests by admin/staff
-
Notify nearest available donor
-
Track status (pending, approved, fulfilled)
-
Auto-match available inventory
✅ 5. Hospital & Lab Management
🔹 Submodules:
🔸 Functions:
-
Add/edit hospital/lab details
-
Upload/track test results (HIV, Hepatitis, etc.)
-
Match donor-recipient compatibility (AI-based or manually)
-
Issue certificate of blood safety
✅ 6. AI-Based Features (Python-Integrated)
🔹 Submodules:
-
Donor Eligibility Prediction
-
Blood Demand Forecasting
-
Smart Matching System
-
Donation Recommendation System
-
Chatbot for FAQs and Support
🔸 Functions:
-
Predict future demand of blood types (location-wise)
-
Suggest donation dates based on health history
-
Match donor-recipient based on compatibility, distance
-
Suggest nearest center or donor using geolocation
-
Chatbot to handle user queries (e.g., "Can I donate?", "Where to donate?", etc.)
✅ 7. Reports & Analytics
🔹 Submodules:
🔸 Functions:
-
View and download PDF/Excel reports
-
Visual dashboards (charts for blood types, usage, donor activity)
-
Predictive graphs (stock forecasting)
-
Geo heatmaps for high-demand areas
✅ 8. Notification Module
🔹 Submodules:
-
Email Notifications
-
SMS Alerts
-
In-App Notifications
🔸 Functions:
-
Alert donors for upcoming donation date
-
Notify hospitals on approval/rejection
-
Emergency broadcast for rare group need
-
Birthday & donation anniversary wishes
✅ 9. Settings & Configuration
🔹 Submodules:
🔸 Functions:
-
Configure donation intervals, expiry period, alert thresholds
-
Add/edit roles (custom roles for staff, partners)
-
System backup & restore
✅ 10. Audit Log & Security Module
🔹 Submodules:
-
User Activity Tracking
-
Login Logs
-
Data Integrity Checker
🔸 Functions:
-
Track who changed what and when
-
Prevent duplicate entries
-
Log login attempts and failures
-
Regular health checks for database
✅ Integration Architecture
| Component |
Language/Tech |
| Frontend UI |
PHP (HTML/CSS/JS, Bootstrap) |
| Backend Logic |
PHP |
| Database |
MySQL |
| AI Models |
Python (Flask/FastAPI API to PHP) |
| Charts |
Chart.js / Google Charts |
| Chatbot |
Python + RASA or OpenAI API |
| Notifications |
PHP mailer / Twilio / Firebase |
📌 AI Ideas You Can Expand
| AI Task |
Algorithm Suggestions |
| Donor Eligibility |
Logistic Regression / Random Forest |
| Blood Demand Forecast |
Time-Series (ARIMA, Prophet) |
| Smart Matching |
KNN / Decision Tree |
| Chatbot |
RASA / Langchain or GPT-4 (local or API) |
| Image Upload of Reports |
OCR + ML Classification |
Here is a detailed Work Flow / Data Flow for Each User and Module in your AI-Based Blood Bank Management System using PHP, MySQL, and Python.
🧾 System Users
-
Admin
-
Staff
-
Donor
-
Recipient (Patient)
-
Hospital / Lab
-
AI Service (Python-based background tasks / APIs)
✅ 1. ADMIN - Data Flow & Workflow
🎯 Main Tasks:
-
System management
-
Inventory monitoring
-
Approvals
-
Reporting
🔄 Workflow:
-
Login → Dashboard Overview (stock, requests, alerts)
-
Manage Users → Add/Remove/Update Donors, Staff, Hospitals
-
Manage Inventory → Add/Update/Delete blood stock
-
Approve Blood Requests → View incoming → Approve/Reject
-
Check Reports & Forecasts → View AI charts, donor reports
-
System Settings → Configure alert levels, roles, expiry rules
✅ 2. STAFF - Data Flow & Workflow
🎯 Main Tasks:
🔄 Workflow:
-
Login → View dashboard (donors, requests, pending actions)
-
Manage Appointments → Confirm donor schedules
-
Check Donor Health → Enter vitals & eligibility
-
Update Inventory → Add donated units, remove expired
-
Handle Requests → Forward to admin or fulfill if allowed
-
Generate Certificates → Print donation or test certificates
✅ 3. DONOR - Data Flow & Workflow
🎯 Main Tasks:
-
Register & donate blood
-
View history & reminders
🔄 Workflow:
-
Register/Login → Profile setup
-
Check Eligibility (AI or questionnaire)
-
Book Donation Appointment
-
Receive Reminder Notification (email/SMS)
-
Donate Blood → Confirmed & stock updated by staff
-
View Donation History → See past donations, certificates
-
Get AI Recommendation → Best time/place to donate next
✅ 4. RECIPIENT / PATIENT - Data Flow & Workflow
🎯 Main Tasks:
-
Request blood
-
Track request status
🔄 Workflow:
-
Register/Login
-
Submit Blood Request → Group, quantity, urgency, location
-
Wait for Approval (Admin/staff)
-
View Request Status
-
Get Notifications → Approval/rejection, pickup info
✅ 5. HOSPITAL / LAB - Data Flow & Workflow
🎯 Main Tasks:
🔄 Workflow:
-
Login → View dashboard
-
Submit Request for Blood (for patients)
-
Enter/Upload Test Reports → HIV, HBV, etc.
-
Check Compatibility Results → AI or manual
-
Download Certificates (Safety or rejection)
✅ 6. AI SERVICE MODULE (Python Integration)
🎯 Main Tasks:
🔄 Workflow:
🔸 Donor Eligibility:
-
Donor inputs age, weight, last donation, health status
-
PHP sends data to Python API
-
AI model returns Eligible / Not Eligible
🔸 Blood Demand Forecast:
-
Inventory and request data sent to Python
-
AI model (Prophet, ARIMA) returns next 30 days’ demand
-
PHP displays graph using Chart.js
🔸 Smart Matching:
-
A new request is made
-
PHP queries donor list and sends to Python
-
AI ranks matches by blood group, location, availability
-
PHP notifies top donors
🔸 Chatbot:
-
User asks question (chat window)
-
PHP sends input to Python (RASA/GPT)
-
Python returns response → displayed to user
🔁 Module-wise Combined Data Flow (Simplified)
| User |
Module |
Input |
Process |
Output |
| Admin |
User Mgmt |
User data |
Validate, store |
User added |
| Admin |
Inventory |
Blood info |
Add/update/delete |
Stock updated |
| Staff |
Donations |
Appointment + vitals |
Check eligibility |
Add to inventory |
| Donor |
Appointment |
Slot selection |
Check conflict |
Confirmed |
| Recipient |
Request |
Blood group, qty |
Match, validate |
Status returned |
| Hospital |
Report |
Test results |
Store, validate |
Safety cert |
| AI |
Forecasting |
Stock + usage logs |
ML model |
Graph/chart |
| AI |
Matching |
Donor + recipient |
Match scoring |
Best match |
| AI |
Chatbot |
Question |
NLP engine |
Answer |
📥 External APIs & Tools (Optional)
| Function |
Tool/API |
| Email/SMS |
Twilio, Mailgun, SendGrid |
| Map location |
Google Maps API |
| Chatbot NLP |
RASA, Hugging Face Transformers, OpenAI API |
| Charts |
Chart.js, Google Charts |
| Python APIs |
Flask or FastAPI |
🗃 Data Flow Diagram (DFD) - Level 1 Overview
[Donor] ---> [Web UI] ---> [Donation Mgmt Module] ---> [Inventory]
|
---> [Eligibility Checker (Python)]
[Recipient] --> [Request Module] ---> [Smart Matcher (Python)] ---> [Donor Notification]
[Admin] ---> [Dashboard] <--- [Reports & Forecasts (Python)]
|
---> [Inventory], [Users], [Requests]
[Hospital] ---> [Request Blood] ---> [Approval Module]
[Lab] ---> [Upload Test Report] ---> [Database] ---> [Blood Status]
Here is a complete Database Design / ER Diagram Description for your AI-Based Blood Bank Management System using MySQL, including table names, columns, data types, primary/foreign keys, and relationships.
🧩 Database Name: blood_bank_db
✅ 1. users
Stores all system users: donors, recipients, staff, admin, hospitals, labs.
| Column Name |
Data Type |
Description |
| user_id |
INT AUTO_INCREMENT |
Primary Key |
| name |
VARCHAR(100) |
Full name |
| email |
VARCHAR(100) |
Unique, login email |
| password |
VARCHAR(255) |
Hashed password |
| phone |
VARCHAR(20) |
Phone number |
| gender |
ENUM('Male', 'Female', 'Other') |
Gender |
| dob |
DATE |
Date of birth |
| user_type |
ENUM('admin', 'staff', 'donor', 'recipient', 'hospital', 'lab') |
Role |
| address |
TEXT |
Physical address |
| status |
ENUM('active','inactive') |
Account status |
| created_at |
TIMESTAMP DEFAULT CURRENT_TIMESTAMP |
Account creation date |
✅ 2. donors
Additional info for donor users.
| Column Name |
Data Type |
Description |
| donor_id |
INT AUTO_INCREMENT |
Primary Key |
| user_id |
INT |
FK → users(user_id) |
| blood_group |
ENUM('A+', 'A-', 'B+', 'B-', 'AB+', 'AB-', 'O+', 'O-') |
|
| weight |
FLOAT |
In kilograms |
| last_donation |
DATE |
Last donated date |
| eligibility |
BOOLEAN |
1 = Eligible, 0 = Not |
| diseases |
TEXT |
Known diseases if any |
✅ 3. recipients
Info for blood requesters.
| Column Name |
Data Type |
Description |
| recipient_id |
INT AUTO_INCREMENT |
Primary Key |
| user_id |
INT |
FK → users(user_id) |
| blood_group |
ENUM(...) |
Needed blood group |
| hospital_id |
INT |
FK → hospitals(hospital_id) |
| condition |
TEXT |
Medical condition |
✅ 4. hospitals
Registered hospitals.
| Column Name |
Data Type |
Description |
| hospital_id |
INT AUTO_INCREMENT |
Primary Key |
| name |
VARCHAR(150) |
Hospital name |
| address |
TEXT |
Address |
| phone |
VARCHAR(20) |
Contact number |
| email |
VARCHAR(100) |
Email |
✅ 5. labs
Registered labs for testing.
| Column Name |
Data Type |
Description |
| lab_id |
INT AUTO_INCREMENT |
Primary Key |
| name |
VARCHAR(150) |
Lab name |
| address |
TEXT |
Address |
| phone |
VARCHAR(20) |
Phone |
✅ 6. donations
Tracks each donation.
| Column Name |
Data Type |
Description |
| donation_id |
INT AUTO_INCREMENT |
Primary Key |
| donor_id |
INT |
FK → donors(donor_id) |
| donation_date |
DATE |
Date of donation |
| center_location |
VARCHAR(100) |
Donation center name |
| blood_qty_ml |
INT |
Quantity in ml |
| tested |
BOOLEAN |
Tested or not |
✅ 7. blood_inventory
Inventory table for available stock.
| Column Name |
Data Type |
Description |
| inventory_id |
INT AUTO_INCREMENT |
Primary Key |
| blood_group |
ENUM(...) |
Blood group |
| quantity_ml |
INT |
Total quantity in ml |
| received_date |
DATE |
Date received |
| expiry_date |
DATE |
Auto-calculate (e.g., +42 days) |
| donor_id |
INT |
FK → donors(donor_id) |
| status |
ENUM('available', 'used', 'expired', 'damaged') |
|
✅ 8. blood_requests
Tracks blood requests.
| Column Name |
Data Type |
Description |
| request_id |
INT AUTO_INCREMENT |
Primary Key |
| recipient_id |
INT |
FK → recipients(recipient_id) |
| blood_group |
ENUM(...) |
Requested group |
| quantity_ml |
INT |
Amount needed |
| request_date |
DATE |
Request date |
| urgency |
ENUM('low','normal','high','emergency') |
|
| status |
ENUM('pending','approved','rejected','fulfilled') |
|
| matched_inventory_id |
INT |
FK → blood_inventory(inventory_id) |
✅ 9. test_reports
Stores testing results.
| Column Name |
Data Type |
Description |
| report_id |
INT AUTO_INCREMENT |
Primary Key |
| donation_id |
INT |
FK → donations(donation_id) |
| lab_id |
INT |
FK → labs(lab_id) |
| hiv |
BOOLEAN |
0 = Negative, 1 = Positive |
| hbv |
BOOLEAN |
Hepatitis B result |
| hcv |
BOOLEAN |
Hepatitis C |
| syphilis |
BOOLEAN |
Syphilis |
| malaria |
BOOLEAN |
Malaria |
| result |
ENUM('safe','unsafe') |
Final result |
| report_date |
DATE |
Date tested |
✅ 10. appointments
Donation scheduling.
| Column Name |
Data Type |
Description |
| appointment_id |
INT AUTO_INCREMENT |
Primary Key |
| donor_id |
INT |
FK → donors(donor_id) |
| appointment_date |
DATETIME |
Scheduled date/time |
| status |
ENUM('scheduled','completed','cancelled') |
|
✅ 11. notifications
All messages/alerts.
| Column Name |
Data Type |
Description |
| notification_id |
INT AUTO_INCREMENT |
Primary Key |
| user_id |
INT |
FK → users(user_id) |
| message |
TEXT |
Notification content |
| type |
ENUM('email','sms','system') |
Type of notification |
| read_status |
BOOLEAN |
0 = Unread, 1 = Read |
| sent_at |
TIMESTAMP |
Sent timestamp |
✅ 12. ai_predictions
Stores outputs from AI.
| Column Name |
Data Type |
Description |
| prediction_id |
INT AUTO_INCREMENT |
Primary Key |
| prediction_type |
VARCHAR(50) |
e.g., 'eligibility', 'demand' |
| input_data |
TEXT |
JSON of input |
| result |
TEXT |
JSON or string result |
| created_at |
TIMESTAMP |
Generated at |
✅ Relationships Summary
-
users is the base table for all user types.
-
donors, recipients, staff, etc., extend from users.
-
donations link to donors; test_reports link to donations.
-
blood_inventory entries are created after a successful donation and test.
-
blood_requests are made by recipients, fulfilled from blood_inventory.
-
AI predictions are stored in ai_predictions for future analysis.
🖼 Visual Diagram Options
Would you like:
-
A drawn ERD (image or PDF)?
-
A SQL script to auto-generate the tables?
-
A DB design using dbdiagram.io format?
Let me know your preference, and I’ll prepare it for you!
Here’s a complete Data Flow Diagram (DFD) for your AI-Based Blood Bank Management System using PHP + MySQL + Python (AI), with levels and descriptions.
🔷 Level 0 – Context Level DFD
This shows how external users interact with the system at a high level.
+----------------+
| Donor |
+----------------+
|
v
+--------------------------+
| |
| Blood Bank Management |
| System |
| (PHP + MySQL + Python) |
| |
+--------------------------+
^ ^ ^ ^
| | | |
+--------+ +---+ +--+ +--+--------+
|Recipient| |Admin| |Lab| |Hospital |
+---------+ +-----+ +----+ +-----------+
🔷 Level 1 – Main Module DFD
Breakdown of system processes and data stores:
+-------------+ +-----------------+ +-----------------+
| Donor +----->| 1. Donation +----->| Blood Inventory|
+-------------+ | Management | +--------+--------+
+--------+--------+ |
| v
| +------------+
| |Test Report |
| +------------+
|
v
+-------------+ +------------------+ +--------------------+
| Recipient +----->| 2. Request Mgmt |<---->| Hospital Interface |
+-------------+ +------------------+ +--------------------+
|
v
+--------------------+
| AI Matching Module |
+--------------------+
|
v
+---------------------+
| Notifications / SMS |
+---------------------+
+-------------+ +----------------------+
| Admin +<----->| 3. Inventory Control |
+-------------+ +----------+-----------+
|
v
+--------------------------+
| 4. AI Forecasting Engine |
+--------------------------+
🔷 Level 2 – Detailed DFD per Module
🔹 Module 1: Donation Management
[Donor] → [Donation Request Form]
→ [Donation Module]
→ [Store in Appointments]
→ [Blood Collected]
→ [Send to Lab]
→ [Test Reports]
→ [Update Blood Inventory]
🔹 Module 2: Blood Request Management
[Recipient/Hospital] → [Request Form]
→ [Request Table]
→ [Admin Review]
→ [Check Inventory]
→ [Fulfill or Notify Admin]
→ [AI Matching Module] → Suggest Donors
→ [Notify Donors via SMS/Email]
🔹 Module 3: Inventory Control (Admin + Staff)
[Donations] → [Inventory Table]
[Test Reports] → [Safe Units Only → Mark 'available']
[Admin] → [Add/Remove Units Manually]
→ [Set Min Level Alert]
→ [View Expiry]
🔹 Module 4: AI Modules (Python)
A. Donor Eligibility Check
Donor Data → Python Model → [Eligible / Not Eligible] → Store in DB
B. Blood Demand Forecast
Inventory Trends + Request Logs → ML Forecast Model (Python)
→ Forecast Graph → Display in Admin Panel
C. Smart Matching
Blood Request + Donor List + Location → Python Matching Engine
→ Sorted Donor List → Notify Top Donors
🔹 Module 5: Notifications
[System Events (Appointments, Approvals, Matches)]
→ [PHP Notification Queue]
→ [SMS/Email APIs (e.g., Twilio)]
🟩 Data Stores (Database Tables)
| Data Store |
Source/Flow From |
users |
All modules (base for all users) |
donors, recipients |
From user registration |
appointments |
From donor booking |
blood_inventory |
From donation + test success |
blood_requests |
From recipients/hospitals |
test_reports |
From labs |
ai_predictions |
From AI eligibility/demand modules |
notifications |
Triggered by events |
✅ Summary
Your DFD Structure covers:
-
Users → Input (Forms)
-
PHP Logic → Stores in MySQL
-
Python AI → Predicts / Recommends
-
Outputs → Alerts / Charts / Matches
📌 Optional Next Steps:
Would you like:
-
A drawn image (DFD Level 1 or 2) as PNG/PDF?
-
A flowchart diagram (SVG/Draw.io format)?
-
A MySQL SQL script of all tables?
Let me know and I’ll generate it for you.
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