A research-oriented embedded IoT project being developed at Daffodil International University (DIU) under the Embedded System Research Center - DIU, focusing on intelligent cattle identification and health monitoring using biometric imaging and temperature sensing.
Features:
Muzzle biometric image capture using an ESP32-S3 camera for unique cattle identification
Non-contact body temperature measurement via MLX90614 IR sensor
Synchronized image and temperature acquisition for reliable health assessment
TFT display (ILI9488) for camera alignment, image preview, and real-time temperature display
USB serial data transmission to a host computer for offline testing and visualization
Planned cloud, web, and mobile integration with machine learning for automated cattle health analysis
Technologies & Concepts:
ESP32-S3, Camera Modules, MLX90614 IR Sensor, ILI9488 TFT Display, Embedded C/C++, USB Serial Communication, IoT Systems, Power Management, HTML/CSS Dashboards, Machine Learning (Biometric & Health Analysis), Embedded System Integration
A console-based student record management application developed in ANSI C as part of the CSE214: Algorithms Lab course at Daffodil International University (DIU). This system demonstrates the practical implementation of core algorithmic and data-structure concepts—including Singly Linked Lists, Quick Sort, Binary Search, Dynamic Memory Management, and File Persistence—to solve real-world academic record management problems efficiently.
Features:
Persistent Student Database: Automatic save/load functionality.
Quick Sort Ranking System: Efficient student ranking by total marks.
Binary Search Student Finder: Fast ID-based lookup.
Sorted Linked List Insertion: Maintains organized student records.
Section-Wise Analytics: Course average analysis with bar graphs.
Robust Input Validation: Prevents invalid or inconsistent data.
Dynamic Memory Management: Efficient memory allocation and deallocation.
Modular ANSI C Implementation: Clean and maintainable project structure.
GitHub Repo Link:
Smart Student Marks Organizer (SSMO)
A hardware-based clap switch circuit developed as part of the CSE122: Electrical Circuits Lab course at Daffodil International University (DIU). This project demonstrates the practical implementation of core electronic circuit concepts—including sound detection, signal amplification, transistor switching, RC timing control, and analog circuit design—to create a functional hands-free switching system using fundamental electronic components.
Features:
Sound-Activated Switching System: Detects clap sounds to trigger outputs automatically.
555 Timer–Based Monostable Circuit: Generates controlled output pulses for stable operation.
BC547 Transistor Signal Amplification: Amplifies weak microphone signals for reliable triggering.
LED and Buzzer Output Indicators: Provides clear visual and audio feedback upon activation.
RC Timing Configuration: Controls output duration through resistor-capacitor timing calculations.
Breadboard-Based Hardware Implementation: Easy assembly, testing, and component reusability.
Low-Power & Low-Cost Design: Operates efficiently using a simple 9V power supply.
Noise Sensitivity Considerations: Includes basic filtering and reliability-focused design approaches.
Practical Circuit Testing & Troubleshooting: Evaluated performance under multiple sound and environmental conditions.
Technologies & Concepts:
555 Timer IC, BC547 NPN Transistor, Analog Electronics, Signal Amplification, RC Timing Circuits, Sound Detection, Breadboard Prototyping, Electronic Circuit Design, Hardware Troubleshooting, Low-Voltage Switching Systems
LinkedIn Post Link:
A console-based restaurant management application developed in ANSI C as part of the CSE124: Data Structure Lab course at Daffodil International University (DIU). This system operationalizes core data-structure concepts—including singly linked lists, queues, nested nodes, dynamic memory management, and file persistence—to simulate real-world restaurant workflow automation.
The project includes two operational modes:
Manager Mode: Full administrative access with menu CRUD operations, stock management, order queue handling, and order serving.
Customer Mode: Guided interface for browsing the menu and placing table-wise orders.
Features:
Role-Based Access: Manager & Customer workflows.
Persistent Storage: Auto-saving and loading of menu data.
Stock Management: Decreases stock automatically on order.
Queue-Based Order Handling: Ensures fairness and operational discipline.
Robust Validation: Prevents inconsistent or duplicate data entry.
Modular, Maintainable Structure: Clean, scalable ANSI C design.
GitHub Repo Link:
Smart Restaurant Management System (SRMS)
A console-based patient records management system developed in C as part of the CSE114: Programming and Problem Solving Lab course at Daffodil International University (DIU). This project demonstrates structured programming, file handling, and problem-solving concepts in C by managing patient records in a small-scale hospital/clinic setting.
Features:
Password-Protected Login (5 pre-set passwords).
Add New Patients with medical history.
Display All Patients with details.
Search Patient Records (by Name, Contact, Disease, or Blood Group).
Update Patient Records (by contact number).
Persistent Storage (records saved in patients.txt).
GitHub Repo Link: