Two Months Industrial Training Report

Industrial Training (TTTR0300)

submitted in partial fulfillment of the requirements for the award of the degree
of

Bachelor of Technology
In
Textile Technology

by

AKASH GUPTA (Roll No: 23110004)

DEPARTMENT OF TEXTILE TECHNOLOGY

DR. B. R. AMBEDKAR NATIONAL INSTITUTE OF
TECHNOLOGY JALANDHAR

June - July 2025

 TABLE OF CONTENTS
Sr. No. Content Page Number

Acknowledgement

1. Industry detail
2. Learning / Project details and outcomes
3. Conclusions
4. Duly signed proforma
5. Certificate of completion
 ACKNOWLEDGEMENT

I would like to express my sincere gratitude to everyone who contributed to my success during
my two-months Artificial Intelligence & Machine Learning (AIML) Internship at Edunet
Foundation.

First and foremost, I am deeply thankful to Edunet Foundation & AICTE for providing me
with this valuable opportunity. The experience has been incredibly insightful, allowing me to
apply my theoretical knowledge to real-world projects and significantly enhance my practical
skills.

A special thank you goes to my supervisors , Channabasava Yadav & Nanthini Mohan , for
their unwavering guidance, patience, and mentorship. Their expertise and constructive
feedback were instrumental in my learning process, and their support made this a truly
enriching experience.

I also extend my thanks to the entire Edunet Foundation & AICTE team. The collaborative
and supportive atmosphere of the team made it a pleasure to come to work every day. I am
grateful for their willingness to share their knowledge and for making me feel like a valued
member of the team.

Finally, I would like to thank my professors at DR. B. R. AMBEDKAR NATIONAL

INSTITUTE OF TECHNOLOGY JALANDHAR for providing me with the foundational
knowledge that prepared me for this role. Their dedication to teaching has been invaluable. I
am also grateful to my family and friends for their continuous encouragement and support.

This internship has been a significant milestone in my professional journey, and I am thankful
to everyone who helped make it a memorable one.

Name of student : AKASH GUPTA

Roll number : 23110004

Signature :
 INDUSTRY DETAIL – EDUNET FOUNDATION

EDUNET FOUNDATION is a multidisciplinary information technology service provider

catering to the needs of individuals, enterprises, and research institutions. The organization’s
expertise spans multiple domains, including:

Artificial Intelligence & Machine Learning (AI/ML)

Data Science & Analytics

Cloud Computing

Cybersecurity

Internet of Things (IoT)

Robotics & Automation

Blockchain & Emerging Technologies

Full Stack Development

UI/UX & Design Thinking

Edunet Foundation is a social enterprise which was founded in 2015 and focuses on bridging
the academia-industry divide, enhancing student employability, promoting innovation and
creating an entrepreneurial ecosystem in India. Working primarily with emerging technologies,
and striving to leverage them to augment, upgrade the knowledge ecosystem and equip the
beneficiaries to become contributors themselves, we work extensively to build a workforce
with an IR 4.0 enabled career.

The organization has enjoyed Special Consultative Status with the Economic and Social
Council (ECOSOC) of the United Nations since 2020. With a national footprint, EF’s
programs, online and instructor-led, benefit tens of thousands of learners every year.
 LEARNING

During the internship, I gained hands-on exposure to Artificial Intelligence and Machine
Learning concepts and their practical applications. Some of my key learnings include:

 Understanding of data preprocessing techniques (handling missing values, encoding

categorical variables, feature scaling).

 Exploratory Data Analysis (EDA) to identify patterns, trends, and correlations in

employee-related datasets.

 Application of regression techniques (Linear Regression, Multiple Regression, etc.) for

salary prediction.

 Model evaluation using performance metrics like R² Score, Mean Absolute Error
(MAE), and Mean Squared Error (MSE).

 Improved skills in Python programming and use of libraries such as Pandas, NumPy,
Matplotlib, Seaborn, and Scikit-learn.

 Experience in splitting datasets into training and testing sets to ensure model
generalization.

 Practical knowledge of deploying ML models and presenting results effectively.

PROJECT DETAIL

The project focused on building a machine learning model to Predict Employee Salaries based
on various factors such as experience, education, role, department, and skill set.

Steps followed in the project:

1. Problem Definition: Predict employee salaries to assist HR in decision-making and

salary benchmarking.

2. Data Collection: Used employee dataset (real/simulated) containing features like age,
 experience, department, job role, education level, etc.

3. Data Preprocessing: Cleaned data, handled missing values, encoded categorical

features, and applied feature scaling.

4. Exploratory Data Analysis (EDA): Visualized distributions and correlations between

salary and other factors.

5. Model Building: Implemented regression algorithms such as Linear Regression,

Decision Tree Regressor, and Random Forest Regressor.

6. Model Evaluation: Compared models based on accuracy and error metrics; selected
the best-performing model.

7. Result: The model successfully predicted salaries with high accuracy, highlighting the
most influential factors affecting pay.

8. Tools & Technologies Used: Python, Pandas, NumPy, Scikit-learn, Matplotlib,

Seaborn , Jupyter Notebook.

Outcome

-- Successfully developed a Machine Learning model to predict employee salaries based on

various features (like experience, education, role, etc.).

-- Implemented different algorithms (e.g., Linear Regression, Decision Trees, Random

Forest, etc. – mention whichever you used) and compared their performance.

-- Achieved a good accuracy level (mention the accuracy/metrics you got, e.g., R² score,
MAE, MSE).

-- Created a pipeline for data preprocessing, feature selection, and model evaluation.

-- The project provided insights into how data-driven approaches can assist HR departments
in making fair and efficient salary decisions.
 CONCLUSION

-- The internship enhanced practical knowledge of AI & ML concepts, including data

preprocessing, model training, evaluation, and optimization.

-- Learned how to handle real-world data (cleaning, missing values, scaling, encoding
categorical variables).

-- Gained hands-on experience in Python libraries like Pandas, NumPy, Matplotlib, Scikit-
learn (or whichever you used).

-- The project demonstrated that machine learning can play a key role in salary prediction,
helping organizations reduce bias and improve decision-making.

-- Overall, the internship strengthened problem-solving, analytical, and implementation skills,

bridging the gap between theoretical learning and real-world applications.
Akash Gupta
 Edunet Foundation – AICTE Internship Offer Letter
Dear Mr./Ms. Akash Gupta

Student ID: STU682f051f95c7d1747911967 Internship ID: INTERNSHIP_17465167156819baeb7bffe Date:18th Jun 2025

We would like to congratulate you on being selected for an internship brought to you by the Edunet Foundation, leveraging the
SkillsBuild Program on Airtificial Intellegence & Machine Learning (AIML). As an intern, you will learn and demonstrate skills that
will enhance your employability and your confidence in the subject area.

SkillsBuild is an e-learning platform that helps job seekers gain the foundational skills necessary to prepare for entry-level positions
while earning credentials and receiving guidance for industry experts at no cost.

We are pleased to offer you an Edunet Foundation internship for a period of 6 weeks beginning from 18th June 2025 to 30th July
2025.

During this internship, you will work independently on a project and be assigned a mentor who will guide you to identify a solution to
the problem and develop it into a project. The internship will provide the following benefits:

 Access to SkillsBuild e-learning Platform with over 80,000 curated courses on technical and professional skills
 Opportunity to accelerate your learning in project-based, collaborative environments
 Learners can experience masterclasses led by Subject Matter Experts
 Showcase your skills by solving real-world challenges
 Certification from AICTE and Edunet to enhance your value to future employers

Timeline and project:

The structure of the Edunet Foundation internship camp is as follows:

Week Agenda Student Deliverables

Week 1 Orientation of Internship and Skills Build Platform  Registration on SkillsBuild using Gmail ID
 Exploring SkillsBuild and Learning Plan for the respective
domain

Week 2 Technical Session, Project Topic  Commence Project Related tasks

 Self-paced Learning

Week 3 Technical Session, Common Q&A form  Project related tasks

 Self-paced learning
Week 4 Technical Session, Query Resolution  Share queries via Q&A form
 Attendance to Mentor-led query resolution sessions

Week 5 Project Completion and Submission Q&A  Project Completion

 Self-Paced Learning completion
 Creation of Project Presentation

Week 6 Project Submission (PPT)

Criteria for certification:

 Participation in weekly sessions with mentors is mandatory

 Completion of tasks/milestones on a weekly basis
 Completion of learning plan on SkillsBuild
 Submission of a project presentation required

Stipend:
There will be NO stipend for this internship. If you agree to the above terms of the offer, please indicate acceptance of the offer
letter and below undertaking to the undersigned.

Sincerely,
Nagesh Singh
Chairman – Edunet Foundation
 Undertaking Agreement
I, Akash Gupta from Dr B R Ambedkar National Institute Of Technology , Jalandhar who is undergoing an internship at Edunet
Foundation, do hereby undertake on 18th June 2025 the following:

1. I will be present at the weekly sessions conducted virtually, as organized by the mentor and team, to undertake the courses
assigned to me for the duration of the internship. I will communicate to the mentor and team should there be any reason or
inability to be present.
2. I will communicate regularly with the said mentor on the courses' progress.
3. I declare that I will ensure the timely submission of the project and will deliver a presentation within the stipulated time to
complete the internship and earn a certificate.
4. I will adhere to and maintain the decorum of weekly sessions conducted virtually and will not be involved in any disciplinary
practice during the same and abide by ethical standards followed by Edunet Foundation under SkillsBuild program.
5. I declare that my internship with Edunet Foundation shall be terminated at any stage on the grounds of:
o Absenteeism from masterclasses and mentor-led sessions
o Not in touch with mentor
o Mentor identifies that there is no progress on project
o Not reachable by Edunet Foundation

6. I further declare that my internship shall be terminated forthwith at any stage, misbehaviour, inciting hatred, indiscipline,
habitual insubordination etc. or on grounds of misconduct etc. as came to the notice of Edunet Foundation.

Sincerely,

Sign Here

Date: 18th June 2025

Name of Student: Akash Gupta
AICTE Student ID: STU682f051f95c7d1747911967

Internship ID: INTERNSHIP_17465167156819baeb7bffe

Internship Title: EDUNET FOUNDATION - IBM SKILLSBUILD - ARTIFICIAL INTELLIGENCE - 6 WEEKS INTERNSHIP JUNE 2025 BATCH