http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/40 2026-06-15T23:09:55Z 2026-06-15T23:09:55Z Riyad, Md. Shafayet Jamil Tahmid, Khandaker Ahanaf http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17310 2026-06-13T21:01:03Z 2025-10-25T00:00:00Z

IOT Base Soil Nutrient and Fertilizer Monitoring System For Smart Agriculture Riyad, Md. Shafayet Jamil; Tahmid, Khandaker Ahanaf In smart agriculture, accurate monitoring of soil is necessary for the maximization of crop yield and sustainable farming. In this project an Iot Base Soil Nutrient and Fertilizer Monitoring System for Smart Agriculture that can monitor soil remotely on a real time basis is proposed which works on ESP32 microcontroller. The system includes a 3-in-1 NPK (Nitrogen, Phosperous, Potassium), DS18B20 temp sensor and capacitive soil moisture sensor. These sensors acquire environmental parameters, that showed on a 0.96-inch OLED display and also sent at the same time to mobile application designed with MIT App Inventor using MQTT protocol. The RS485 bus is used for communication between ESP32 and the NPK sensor, MP1584 buck converter steps down 12V switching adapter to a safe 5V work voltage. I use the MQTT broker named broker. emqx. io, as it supports low latency light communication for IoT data. The product enables data driven predictive farming, controlling the environmental factors that affects yield and crop quality of yields. Scalable, less expensive and an effective technique for monitoring the agricultural field in real time can provide insightful information to farmers to improve productivity and resource utilization. Project Report

2025-10-25T00:00:00Z Shanto, Mushfiqur Rahman Sakib, Muktadir Khan Morshed, Nishat http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17309 2026-06-13T21:01:00Z 2025-08-30T00:00:00Z

Implementing Blockchain for Enhancing Cloud Security Shanto, Mushfiqur Rahman; Sakib, Muktadir Khan; Morshed, Nishat As digital data continues to grow rapidly across sectors, ensuring its integrity and authenticity presents a critical challenge—particularly in centralized cloud storage systems, which are vulnerable to unauthorized access, data tampering, and single points of failure. This project proposes a decentralized architecture that integrates Ethereum smart contracts, the InterPlanetary File System (IPFS), and a Flask-based backend to enhance file security, transparency, and traceability. By decentralizing file storage and verification, the system addresses key risks inherent in traditional cloud platforms. Each file is hashed into a unique Content Identifier (CID) via IPFS, and this CID is stored immutably using Ethereum smart contracts. Flask facilitates all backend operations between users, IPFS, and the blockchain, while Twilio is utilized for real-time WhatsApp alerts upon unauthorized access or CID mismatches. The system was rigorously tested using Ganache, Truffle, and Postman. Results demonstrated precise detection of file tampering, instant alerting, and a high level of reliability. The proposed model proves to be scalable, secure, and suitable for sensitive applications in legal, healthcare, and government data management. Project Report

2025-08-30T00:00:00Z Foysal, Jarif Shanto, MD Emam Hossain http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17236 2026-06-08T21:00:53Z 2025-10-30T00:00:00Z

Automation of Traffic Congestion Reduction Management System Foysal, Jarif; Shanto, MD Emam Hossain In this project, built an intelligent traffic congestion management system with an ESP32 board. Traffic signal timings are changed in realtime by the system based on vehicle density data captured using 8 such IR sensor modules placed across various lanes of the road. The intelligent modification of green time duration (i.e., 10, 15, or 20 seconds) for the green lights are programmed according to different traffic conditions in order to prevent traffic jam and improve the flow of traffic. It has 4 traffic light modules that manage signal directions and it also counts with a 16x2 LCD display that has an I2C driver for real status updates. Power is supplied using two 3.7 V batteries, and the output voltage is reduced to 5 V by an MP1584 buck converter with good power efficiency. Supporting components in form of jumper wires, male-female headers, power switch and veroboard make it easy to connect the hardware. It is mounted on a white PVC board, which serves as a stable base for the device. At the conclusionof each traffic cycle, signal timings are sent over Wi-Fi to a Google Sheet by the ESP32 and stored in the cloud for analysis. It's in real time, so when there are no cars on the block, there are quicker transit times because the signals are computerized and intelligent." The presented solution is a scalable and low-energy cost way of traffic management promoting urban mobility. The use of cloud analytics also enables the monitoring tracking of trends over time of traffic flow patterns contributing to future urban development planning decisions. It is also possible to further develop the system, by integrating functionality such as pedestrian detection or emergency vehicle prioritization. The system is equipped with remote monitoring feature allowing intelligent and dynamic way of city traffic control, enabling its deployment on different types of cities ranging from small towns to mega cities. Internship Report

2025-10-30T00:00:00Z Labib, Farhan Akter, Mahfuza http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14169 2025-09-02T21:01:58Z 2024-02-05T00:00:00Z

Design And Implemantation Iot Based Smart Village Farming With Sun Detecting Solar Powered Renewable Energy. Labib, Farhan; Akter, Mahfuza In order to implement effective and sustainable farming methods, this project suggests developing a smart farming system that makes use of cutting-edge sensor technology and Internet of Things integration. In this project, a PIR motion sensor, an infrared sensor, a rain detection sensor, a soil moisture sensor, and a humidity sensor have been used. For the actuator, a servo motor has been used to control irrigation valves and gates. For the central control system, an ESP8266 microcontroller with Wi-Fi has been used for data collection by mobile app communication, which is powered by solar panels for sustainable operation where sun-detecting solar panels capture renewable energy. In this project, the PIR motion sensor has detected and notified animals, or trespassers. An infrared sensor has been used for automated watering and feeding based on distance and soil moisture, which is useful for monitoring crop and animal positions. A rain detection sensor has been used to measure rainfall data, alert the farmer about impending flooding, and automate the irrigation system based on rain data. A soil moisture sensor has been used to determine soil moisture content, which enables automatic irrigation or notifies the farmer based on soil conditions, and a humidity sensor has also been used to measure air humidity, which gives real-time monitoring and actuator control via a mobile app. This project has been tested several times and has successfully achieved the desired output. This Internet of Things (IoT)-based Smart Village Farming system presents a viable means of advancing sustainability, updating agricultural methods, and providing farmers with data-driven decision-making resources. Project

2024-02-05T00:00:00Z