INDUSTRIAL TRAINING REPORT

ITR (22057)

Microspectra Software Technologies

Submitted in partial fulfillment of the

Requirements for Industrial Training of

Diploma in INFORMATION
TECHNOLOGY 2023-24

Submitted By :
Name : Aditi Balkrushna Rathod
Enrollment No. : 2200310365
Semester/Branch : IF5I

SUBMITTED TO:
Department of INFORMATION TECHNOLOGY
GOVERNMENT POLYTECHNIC WASHIM (0031)
Certificate
 DECLARATION

I hereby declare that the Industrial Training Report on Microspectra Software Technologies
Industry is an authentic record of my own work as requirements of Industrial Training during the
period from 12-06-2023 to 22-07-2023 for the INDUSTRIAL TRAINING OF DIPLOMA IN
INFORMATION TECHNOLOGY 2022-23, GOVERNMENT POLYTECHNIC WASHIM,
under the guidance of Mangesh. S. Hule.

Aditi Balkrushna Rathod

2200310365

Date:

Certified that the above statement made by the student is correct to the best of our knowledge
and belief

Examined by:

“Mr. M. S. Hule”

Head Of Department
“Mr. U. A. Bagade”
 ACKNOWLEDGEMENT

First and foremost, I wish to express my sincere thanks and gratitude to my esteemed Mentor
“Mr Vijay Thate” who has contributed so much for successful completion of my Industrial
Training by his thoughtful reviews and valuable guidance. Next I would like to tender my sincere
thanks to Mangesh.S.Hule & “Prof. Udaysingh.A.Bagade” for his co-operation and
encouragement.

Aditi Balkrushna Rathod

EnrollmentNo: 2200310365

Date:
 Index
Sr.No Topic Page no

1. Chapter 1 : Introduction 1
1.1 About industry
2. Chapter 2 :Industrial Training 2 To 3
2.1 Objectives of industrial training.
2.2 Technology used.
2.3 Software and tools used.
2.4 Techniques studied in Different
Departments.
2.5 Highlights of Training Exposure.
3. Chapter 3: Formal Training 4 To 5
3.1 About Training
4. Chapter 4: Case Study 6 to 8
4.1 What is industry
4.2 Artificial Intelligence
5. Overview of Project 9 to 11

6. Conclusion 12
7. Refrences 13
 Chapter 1

1.1 About Company / Industry :

MICROSPECTRA Software Pvt.Ltd. The CEO of this company is “Mr.

Vijay Thate”. work last ten year in Web Site Development & Hosting field.
Experience is Govt. & Pvt. Sector in India & abord number of project working
successfully and working new big project. Full technical employees in our
company. In which capable member are programmer. They are capable to work
with HTML, Python, PERL scripting, Java, java-script, PHP, Flash etc.
MICROSPECTRA Software Pvt.Ltd. provides high quality
affordable web hosting services & Web Application for companies & Govt. Sector
of all types. Host & Develop your website with an innovative, reliable, and a
friendly web hosting & web development company who cares about your business.
Your success is our success, and we do the utmost to help you succeed with your
website. We always go the extra mile to satisfy your requirements and it is because
of this that our reputation is so good. Our servers are fast and reliable; we always
use the latest technology.
 Chapter 2
Industrial Training

2.1 Objectives of Industrial Training :

The objective of industrial training is to provide students the feel of the actual
working environment and to gain practical knowledge and skills, which will
motivate, develop and build their confidence.
 To Develop work habits and attitudes necessary for job success.
 To build strength, teamwork spirit, and self-confidence in students’ life.
 To enhance the ability to improve students’ creativity skills and share ideas.
 To build a good communication skill with a group of workers.

2.2 Technology Used :

In this program we are uses multiple languages our program is based on webpage
development the webpage developing needs so many technologies like -

1. HTML (Hyper Text Markup Language)

2. CSS (Cascading style sheet)
3. JS (Java Script) 4.
(Bootstrap Framework)
2.3 Software and Tools Used :
 Visual Studio Code
 Text Editors
 Live Server
 Web Browser
 Frameworks

2.4 Techniques Studied in Different Departments :

We learnt the complete process of the development of the Software product. The
methods of finding out the problems, requirements and their solutions.

2.5 Highlights of Training Exposure (Area/ Scope) :

In this program all needs and problems first understand and work on it our
internship is best on the web page development then this related study and related
work and that help for get skill to develop the web pages. Training focused us on
the HTML, CSS , JS and frameworks such as Bootstrap for faster and easier web
development.
 Chapter 3

Formal Training Provide

3.1 About The Training :
The training was regarding Web Development. The duration of the training was
about 6 weeks and I learnt following concepts in my training.

Week:01 From 03-06 To 08-06

Day 1 Introduction 03-06-2023
Day 2 Files & Folder Structure 04-06-2023
Day 3 Practical of HTML 05-06-2023
Day 4 Website & Web Application 06-06-2023
Day 5 Practical of HTML 07-06-2023
Day 6 Form attribute using html 08-06-2023
Day 7 Sunday 8-06-2023

Week:02 From 9-06 To 15-06

Day 9 CSS Introduction 9-06-2023
Day 10 Practical of CSS 10-062023
Day 11 Discuss Project Topic 11-06-2023
Day 12 Refer Project Topic 12-06-2023
Day 13 SRS Report 13-06-2023
Day 14 Project Preparation FrontEnd 14-06-2023
Day 15 Sunday 15-06-2023
Week:03 From 16-06 To 22-06
Day 16 Introduction PHP 16-06-2023
Day 17 Form Handling Using PHP 17-06-2023
Day 18 Practicle PHP 18-06-2023
Day 19 Introdinction Database 19-06-2023
Day 20 Practicle MYSQL 20-06-2023
Day 21 Practicle Create Database,Table 21-07-2023
Sunday 22-07-2023

Week:04 Form 23-06 To 29-06

Day 22 Introduction Java 23-06-2023
Day 23 Practicle of Java 24-06-2023
Day 24 Practicle Java Form Validation 25-06-2023
Day 25 Implement Project 26-06-2023
Day 26 Test & Debaging 27-06-2023
Day 27 Implement Project With Erroe Find 28-06-2023
Sunday 29-06-2023

Week:05 From 30-06 To 06-07

Day 28 Front-end implementation on group project 30-06-2023
Day 29 Front-end implementation on group project 1-07-2023
2
Day 30 Database connection 2-07-2023
Day 31 Back-end implementation on group project 3-07-2023
Day 32 Back-end implementation on group project 2 4-07-2023
Day 33 Testing and configuration 5-07-2023
Sunday 6-07-2023
Week:06 From 7-07 To 13-07
Day 34 Error and troubleshooting 7-07-2023
Day 35 Guest lecture 8-07-2023
Day 36 Project completion 9-07-2023
Day 37 Project completion 10-07-2023
Day 38 Submission of group project 11-07-2023
Day 39 Submission of group project 12-07-2023
 Chapter 4
Problem Identification / Case Study Discussed :

4.1 What is the industry ?

An industry is a group of companies that are related based on their primary business activities. In
modern economies, there are dozens of industry classifications. Industry classifications are
typically grouped into larger categories called sector.

4.2 ARTIFICIAL INTELLIGENCE (AI)

Introduction
Artificial Intelligence (AI) is revolutionizing industries, and healthcare is one of
the sectors experiencing transformative changes. This case study focuses on IBM
Watson for Oncology, a clinical decision-support system that leverages AI to assist
oncologists in diagnosing and treating cancer.

Background
Cancer remains one of the leading causes of death globally. Its treatment often
involves complex decision-making due to the variety of cancer types and rapidly
evolving medical literature. Oncologists need tools that can help them make
informed decisions quickly.

IBM Watson for Oncology, developed by IBM in collaboration with Memorial

Sloan Kettering Cancer Center, was designed to:

Analyze patient data (e.g., medical history, test results).

Provide treatment recommendations.
Rank these options based on supporting evidence from scientific literature.
Implementation
1. Data Integration
Watson uses natural language processing (NLP) to process patient data and
scientific literature. It integrates data from multiple sources, including:

Electronic health records (EHRs).

Clinical trial results.
Peer-reviewed journals.
2. AI Algorithms
The AI system employs machine learning to improve its recommendations over
time. It uses a supervised learning approach, trained on thousands of oncology
cases.

3. Deployment
Watson was implemented in hospitals and clinics worldwide to assist oncologists.
Key deployment steps included:

Training healthcare staff on using the system.

Ensuring compliance with medical data privacy regulations.
Impact
Positive Outcomes
Enhanced Decision-Making:
Oncologists reported that Watson provided valuable insights, especially for
complex cases where guidelines were unclear.

Time Efficiency:
The system reduced the time required to review medical literature and make
treatment decisions.

Accessibility:
Watson democratized access to expert oncology knowledge, benefiting healthcare
providers in under-resourced regions.

Challenges
Accuracy Concerns:
There were instances where Watson’s recommendations conflicted with those of
human experts.

Integration Issues:
Compatibility with existing hospital systems and EHRs posed technical challenges.

Cost:
The high cost of deploying and maintaining Watson limited its adoption in low-
income settings.

Ethical Considerations
Bias in AI:
Watson’s recommendations were only as unbiased as the data it was trained on.
Efforts were needed to ensure diverse and representative training datasets.

Transparency:
Understanding how the system generated its recommendations was crucial to
gaining trust from medical professionals.
Internship Main Project –
Homepage :

LatestProduct :
 Conclusion :

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Reference :

https://www.w3schools.com/html/
https://getbootstrap.com/
https://www.w3schools.com/css/css_intro.asp
https://www.visanet.in/