INTERNSHIP
(Course Code: 23UPCSC2I01)
An internship report submitted to
Periyar University Centre for Post Graduate and Research Studies,
Dharmapuri
in partial fulfillment of the requirements for the degree of
MASTER OF SCIENCE
in
COMPUTER SCIENCE
Submitted By
SUNDARESAN K
(REG. No: U24PG801CSC012)
(Duration: 19th March to 4th June, 2025)
DEPARTMENT OF COMPUTER SCIENCE
PERIYAR UNIVERSITY
CENTRE FOR POST GRADUATE AND RESEARCH STUDIES
(NAAC ‘A++’ Grade – State University - NIRF Rank 56 - State Public University Rank 25)
DHARMAPURI – 635 205
NOVEMBER – 2025
INTERNSHIP OFFER LETTER
ATTENDANCE SHEET
INTERNSHIP CERTIFICATE
ABSTRACT
This report provides a summary of my internship at DLK SOFTWARE SOLUTIONS.,
where I worked as a INTERNET OF THINGS from [19 March 2025] to [05 June 2025]. The
main goal of the internship was to learn and apply is a transformative paradigm that connects
physical objects—ranging from household appliances to industrial machinery—to the internet,
enabling them to collect, exchange, and act on data autonomously. By integrating sensors,
actuators, and communication technologies, IoT bridges the gap between the digital and physical
worlds, fostering real-time monitoring, automation, and intelligent decision-making.
INDEX
S. No. CONTENT Pg. No.
01 ORGANIZATION PROFILE 1
02 INTRODUCTION 2
03 OBJECTIVES 3
04 ANALYSIS 4
4.1 Descriptive Analysis in IoT
4.2 Diagnostic Analysis in IoT
4.3 Predictive Analysis in IoT
05 SYSTEM REQUIREMENTS 6
5.1 Functional Requirements
5.2 Non-Functional Requirements
06 INTERNET OF THINGS MISSION 8
6.1 Mission Statement
6.2 Key Objectives of the Mission
07 CONCLUSION 9
ANNEXURE– I (SCREENSHOT / DIAGRAMS) 10
BIBLIOGRAPHY 12
CHAPTER - 1
ORGANIZATION PROFILE
DLK Technologies provides a complete suite of IT services in the business
applications domain, specializing in multiple verticals including constructions, financial
services, healthcare services, education and allied industries. We follow rigorous quality
management techniques, which along with our mature development processes ensure that
a high quality is delivered in every phase of our software development and maintenance
cycles. We have predefined processes for software development life cycle, quality
assurance and documentation.
DLK Technologies success in satisfying its customer’s stems from its commitment
to a consistent methodology, effective project management techniques, proven automated
tools, quality assurance, testing and dedicated professionals.
SOFTWARE SERVICES
•Application Development
•Maintenance & Support
•Product Development
•Conversion and Migration
•Web enabling of Legacy Applications
•E commerce Development
•Web Development •
Search Engine Optimization
•Digital Marketing
•Research Works
1
CHAPTER - 2
INTRODUCTION
The Internet of Things (IoT) has emerged as one of the most transformative technologies of the 21st
century, revolutionizing the way devices interact and share data. IoT integrates hardware, software,
and connectivity to enable objects to collect and exchange data without human intervention,
enhancing efficiency, automation, and decision-making across various sectors such as healthcare,
manufacturing, transportation, and smart cities.
This internship report presents a comprehensive overview of my training and hands-on experience
during my internship at [DLK TECNOLOGIES], The internship was undertaken from [19.3.2025] to
[5.6.2025], and it aimed to provide practical exposure to IoT systems, including sensor integration,
data communication protocols, cloud platforms, and real-time monitoring and control.
During the internship, I had the opportunity to work on real-world IoT projects, collaborate with
experienced professionals, and gain insights into the end-to-end development and deployment of IoT
solutions. This report outlines the learning outcomes, tools and technologies used, projects
undertaken, challenges faced, and skills acquired throughout the internship period.
The experience not only enhanced my technical knowledge but also deepened my understanding of
how IoT is shaping the future of connected technologies.
2
CHAPTER - 3
OBJECTIVES
The primary objective of this internship was to gain practical knowledge and hands-on experience in
the field of the Internet of Things (IoT). This includes understanding the architecture, components,
and communication protocols used in IoT systems, as well as developing and deploying IoT-based
applications.
Specific goals of the internship included:
• To understand the core concepts and real-world applications of IoT.
• To learn about various sensors, actuators, microcontrollers (e.g., Arduino, Raspberry Pi),
and their integration into IoT systems.
• To explore different communication protocols such as MQTT, HTTP, and Bluetooth used in
IoT networks.
• To gain experience in collecting, processing, and analysing sensor data.
• To become familiar with cloud platforms and IoT dashboards for remote monitoring and
control.
• To participate in the design and implementation of IoT projects under professional
supervision.
• To enhance technical, problem-solving, and teamwork skills in a professional environment.
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CHAPTER - 4
ANALYSIS
IoT analysis is the process of examining data collected from internet-connected devices like
sensors, wearables, and smart machines to uncover useful insights. These insights help businesses
and systems make smarter decisions, improve efficiency, and enhance security.
4.1 Descriptive Analysis in IoT
Descriptive analysis in the Internet of Things (IoT) focuses on summarizing and interpreting
historical data collected from connected devices to understand what has happened over time. By
aggregating sensor readings, device logs, and usage metrics, this type of analysis reveals patterns,
trends, and performance benchmarks.
It helps organizations monitor system behavior, identify recurring issues, and establish
baselines for normal operations. For example, in a smart factory, descriptive analysis might show
average machine runtime, frequency of breakdowns, or energy consumption trends.
These insights are typically visualized through dashboards, charts, and reports, enabling
stakeholders to make informed decisions and prepare for deeper diagnostic or predictive analysis.
4.2 Diagnostic Analysis in IoT
Diagnostic analysis in the Internet of Things (IoT) focuses on identifying the root causes of
events or anomalies by examining historical data from connected devices. Unlike descriptive
analysis, which summarizes what happened, diagnostic analysis answers the question:
“Why did it happen?” By drilling into sensor logs, device interactions, and system
performance metrics, it helps uncover underlying issues such as equipment malfunctions, network
failures, or unexpected user behavior.
For instance, if a smart irrigation system fails to activate, diagnostic analysis might reveal that
a faulty moisture sensor or a connectivity lapse was responsible. This type of analysis is essential for
improving reliability, reducing downtime, and informing corrective actions across industries like
manufacturing, healthcare, and smart infrastructure.
Ultimately, diagnostic analysis transforms raw IoT data into meaningful insights that drive
smarter troubleshooting and system optimization.
4
4.3 Predictive Analysis in IoT
Predictive analysis in the Internet of Things (IoT) leverages historical and real-time data from
connected devices to forecast future events, behaviors, or system failures. By applying statistical
models and machine learning algorithms to sensor data.
IoT systems can identify patterns that signal potential issues before they occur. For example,
in industrial settings, predictive analysis can anticipate equipment breakdowns by monitoring
vibration, temperature, and usage trends enabling proactive maintenance and reducing costly
downtime. In smart homes, it might forecast energy consumption based on past usage and
environmental conditions.
This forward-looking capability empowers organizations to optimize operations, enhance
safety, and deliver personalized experiences. Ultimately, predictive analysis transforms raw IoT data
into foresight, helping systems evolve from reactive to proactive decision-making.
5
CHAPTER - 5
SYSTEM REQUIREMENTS
The IoT system is designed to monitor and control [insert application, e.g., environmental
parameters, home appliances, industrial equipment] using sensors, microcontrollers, and cloud
connectivity. The system collects real-time data, transmits it over a network, processes it on the cloud,
and allows users to view or control devices remotely.
5.1 Functional Requirements
Functional requirements in the Internet of Things (IoT) define the essential operations and
behaviours that an IoT system must perform to fulfil its intended purpose. These requirements
encompass the ability of devices to establish reliable connectivity through wired or wireless networks,
ensuring seamless communication across the system.
Each device must possess a unique identity, such as an IP or MAC address, to facilitate
accurate data routing and device management. Sensors play a critical role in collecting real-time
environmental data—ranging from temperature and humidity to motion and pressure which is then
processed either locally (edge computing) or remotely (cloud computing) to generate actionable
insights.
The system must support standard communication protocols like MQTT, CoAP, or HTTP to
enable efficient and secure data exchange. Based on the processed data, actuators may be triggered
to perform specific actions, such as adjusting lighting, activating alarms, or controlling machinery.
A user-friendly interface, typically via mobile apps or web dashboards, allows users to
monitor and control devices effortlessly. Additionally, security mechanisms must be in place to
authenticate devices, encrypt data, and prevent unauthorized access.
These functional requirements collectively ensure that IoT systems operate effectively,
respond intelligently to changing conditions, and deliver meaningful value across domains such as
healthcare, agriculture, smart homes, and industrial automation.
6
5.2 Non-Functional Requirements
Non-functional requirements in the Internet of Things (IoT) define the quality attributes that
govern how an IoT system performs, scales, and interacts with users and other systems. Unlike
functional requirements, which specify what the system does, non-functional requirements focus on
how well it does it. Key attributes include performance, which ensures timely data processing and
responsiveness even under heavy loads; scalability, allowing the system to grow seamlessly as more
devices and users are added; and security, which safeguards sensitive data and prevents unauthorized
access across interconnected devices.
Reliability and availability are crucial for ensuring continuous operation, especially in mission-
critical applications like healthcare or industrial automation. Usability ensures that interfaces are
intuitive and accessible to users with varying technical backgrounds, while maintainability supports
easy updates, fault recovery, and long-term sustainability. Additionally, interoperability enables
diverse devices and platforms to communicate effectively, and compliance ensures adherence to
industry standards and regulations. Together, these non-functional requirements shape the robustness,
efficiency, and user satisfaction of IoT solutions, making them essential for successful deployment
and long-term viability.
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CHAPTER - 6
INTERNET OF THINGS MISSION
6.1 Mission Statement
"To connect the physical and digital worlds through intelligent, secure, and scalable IoT solutions—
empowering businesses and individuals to make smarter decisions, enhance efficiency, and create a
more sustainable and connected future."
6.2 Key Objectives of the Mission
1. Seamless:
Enable reliable, real-time communication between devices, systems, and users across diverse
platforms and environments.
2. Data-Driven:
Collect, analyze, and leverage data from connected devices to deliver actionable insights and
drive smarter decision-making.
3. Scalability:
Build IoT solutions that can grow with user needs—adapting to new devices, protocols, and
business models.
4. Security:
Ensure robust protection of data and devices through end-to-end encryption, authentication,
and secure device management.
5. Operational:
Optimize resource usage, reduce downtime, and automate processes to improve productivity
and reduce operational costs.
6. User-Centric:
Deliver intuitive and accessible IoT experiences that enhance convenience, engagement, and
satisfaction.
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CHAPTER - 7
CONCLUSION
In summary, the internship at DLK TECHNOLOGIES was an enriching experience that significantly
enhanced my skills in WordPress development and the gained practical insights into customizing
themes, integrating plugins, and optimizing website performance. The collaborative environment
allowed me to learn from experienced professionals and tackle real-world challenges, reinforcing my
problem-solving abilities. This experience has not only strengthened my technical competencies but
also it also gives deepened knowledge for web development. The internship program gives the
confidence to carry forward these skills and insights into my future career.
9
ANNEXURE–I (SCREENSHOTS / DIAGRAMS)
Fig 1.0: hello world
Fig 1.1:iot reference model
10
Fig 1.2: types of arudino board
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BLIOGRAPHY
1. S.Mandeep ,”Arduino and Its Working “,2015,Online Available :
https://www.arduino.cc/en/main/arduinoBoardUno
2. Pyarie, R. Tyarize,”Bluetooth based home automation system using Iot”, International
Journal Of Computer Science and Information Technologies, pp 103-130,Vol 2
,issue1,2013.
3. V Sagar, KN. Kusuma,”Home Automation through IOT ”, International Research
Journal of Engineering and Technology, pp 117-128, vol 2 ,issue 3 ,2015.
4. Ramani, R. Olatunbosun , “ Internet Of Things”, International Journal Of Computer
Science and Technology ,pp 120-145,vol 2 ,issue 3,2014.
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