Project Title : Creating Accessible Learning through
AI-Generated Animated Video Explanations
Project Guided By:
Muthamizh selvan, Assistant Professor, AI-DS
II
IV
20AITE304
LIVE IN LAB 1
Batch Members: MOHAMED NIYAZ M, SIBI P.M
AKASH.G, ADITHYAN.H
OBJECTIVE
• The primary objective of this research project is
to develop and implement an automated system
for generating animated videos that provide
question-driven explanations.
• To enhance accessibility to educational content,
promote independent learning, and cater to
diverse learning preferences.
• Animated videos have the potential to increase
student engagement and improve knowledge
retention.
PROBLEM STATEMENT
Traditional teaching methods often rely on
static visual aids and textual explanations, which
may not effectively engage students or cater to
their individual learning needs.
Origin :
 To create an inclusive and accessible learning experience for all students,
regardless of their individual needs and preferences.
 To improve the retention and recall of information by using AI-generated
animated video explanations.
 To provide a flexible and convenient learning format that can be accessed
anytime and anywhere.
Motivation :
 Inaccessibility of traditional learning methods for individuals with
disabilities or language barriers.
 Limited availability of high-quality educational content in certain regions or
languages.
BENEFICIARY :
 Individuals with disabilities or language barriers who face challenges in
accessing traditional learning methods.
 Students in remote or underserved areas with limited access to highquality educational resources.
LITERATURE REVIEW SUMMARY
S.No
1.
Paper Title(Year)
Generative AI for learning:
Investigating the potential of
synthetic learning videos
Author
Journal
Daniel Leiker, Ashley 2023
Ricker Gyllen , Ismail
Eldesouky , and Mutlu
Cukurova
2.
Education in the Era of Generative
David Baidoo-Anu
Artificial Intelligence (AI):
and Leticia Owusu
Understanding the Potential Benefits Ansah
of ChatGPT in Promoting Teaching
and Learning
2023
3.
Generative AI and the future of
Weng Marc Lim ,
education: Ragnarok or reformation? Asanka Gunasekara,
A paradoxical perspective from
Jessica Leigh
management educators.
Pallant,Jason Ian
Pallant, Ekaterina
Pechenkina
2023
-
COMBINED LITERATURE SURVEY
 The study investigated the impact of using AI-generated synthetic
videos in an online learning platform. There were no significant
differences in gains between the two conditions, and learners
perceived no differences between the traditional and synthetic
videos.
 The integration of ChatGPT in education holds significant potential for
enhancing teaching and learning practices through personalized
interactions, formative assessment support, and automated tasks that
save time and improve efficiency.
 The article highlights the potential benefits and challenges of
Generative AI in education and emphasizes the importance of
proactive governance and strategic regulation to ensure its ethical
and effective use.
LITERATURE SURVEY
PAPER 1
TITLE: Generative AI for learning: Investigating the potential of synthetic
learning videos
AUTHOR: Daniel Leiker, Ashley Ricker Gyllen , Ismail Eldesouky , and
Mutlu Cukurova
FINDINGS:The study investigated the impact of using AI-generated synthetic
videos in an online learning platform.
The results showed that learners in both the experimental condition and the
control condition demonstrated significant improvement in learning
performance.
There were no significant differences in gains between the two conditions, and
learners perceived no differences between the traditional and synthetic videos
DISADVANTAGES:
1. Limited research, Small sample size, The experiment focused
on a specific topic within a professional learning context, Lack of
long-term assessment
LITERATURE SURVEY
PAPER 2
TITLE: Education in the Era of Generative Artificial Intelligence (AI):
Understanding the Potential Benefits of ChatGPT in Promoting Teaching
and Learning
AUTHOR: David Baidoo-Anu and Leticia Owusu Ansah
FINDINGS: 1. ChatGPT, a generative AI tool, has the potential to revolutionize
educational practices by performing complex tasks within the field of education.
2. The benefits of ChatGPT in promoting teaching and learning include personalized
and interactive learning, generating prompts for formative assessment activities, and
providing ongoing feedback.
3. ChatGPT can be used for automated essay grading, personalized tutoring, and
language translation in education.
DISADVANTAGES:
Generating wrong information, and biases in data training may augment existing
biases and privacy issues.
LITERATURE SURVEY
PAPER 3
TITLE : Generative AI and the future of education: Ragnarok or
reformation? A paradoxical perspective from management educators.
AUTHORS : Weng Marc Lim , Asanka Gunasekara, Jessica Leigh Pallant,Jason
Ian Pallant, Ekaterina Pechenkina.
FINDINGS : The article highlights the potential benefits and challenges of
Generative AI in education and emphasizes the importance of proactive
governance and strategic regulation to ensure its ethical and effective use.
DISADVANTAGES :
Inability to provide current information and generating false information. It
suggests that Generative AI can empower progress but can also be used unethically
to spread misinformation.
EXISTING SYSTEM
• Traditional classroom teaching, which may not
cater to the needs of students with learning
difficulties.
• Static learning materials, such as textbooks
and handouts, which may not be engaging or
effective for all students.
PROPOSED SYSTEM
1.AI-generated animated video explanations
that can be tailored to the needs and
preferences of individual learners.
2. By leveraging AI technologies, the system will
enhance comprehension, engagement, and
knowledge retention among learners.
3.A flexible and accessible format that can be
accessed anytime and anywhere.
BLOCK DIAGRAM
User Input
Natural language processing
Deep Learning Framework
Model Evaluation
Text To Speech synthesis
Visual effects and
Transitions
Multimodal
integration
User
Interface and
output
TECHNOLOGY STACK
• Deep Learning Framework: PyTorch for building and
training the GAN model.
• GAN Architecture: DCGANS for generating images.
• NLP Libraries: NLTK for processing and understanding
user queries.
• Computer Vision Libraries: OpenCV for image
processing tasks.
• Multimodal integration: Python Imaging Library.
• Text-to-Speech(TTS) Synthesis: Google Text-toSpeech(gTTS).
Mindmap
BUSINESS MODEL CANVAS
CONCLUSION
The project addresses key challenges in
education and enhances the learning experience
for students. Through the integration of these
components, the project contributes to
improving educational practices and
empowering learners to achieve better
learning outcomes.