The team proposes developing an adaptive learning platform that uses artificial intelligence to personalize the selection of multiple choice questions for users based on their responses. The platform will analyze user performance, track progress over time, and provide feedback to highlight strengths and weaknesses. It aims to integrate AI-driven question generation and incorporate factors like response time and hints used to better understand user abilities. The system would select increasingly challenging questions and include gamification elements to enhance the learning experience. The team believes the platform could be used by educational institutions, online learning platforms, companies, and certification organizations to provide adaptive assessments and skill improvement.

1. Basic Details of the Team and
Problem Statement
Ministry/Organization Name/Student Innovation: AICTE
PS Code: 1460
Problem Statement Title: Integration of AI for Adaptive
Learning for MCQ Selection in PARAKH
Team Name: The Machine Minds
Team Leader Name: Jainil Shah
Institute Code (AISHE): C-33777
Institute Name: Dwarkadas J. Sanghvi College of Engineering
Theme Name: Smart Automation

2. Idea/Approach Details Describe your idea/Solution/Prototype here:
 Users will take a pre-assessment which will consist of a set of
MCQs covering various topics and difficulty levels. This data will
serve as a starting point for the adaptive algorithm.
 AI-based question generation tools, guided by Item Response
Theory (IRT), will be integrated to ensure high-quality questions.
 The platform will use IRT algorithms and incorporate "guess and
slip factors" into its analysis. This will help in understanding the
nuances of student responses, including the likelihood of guessing
or making errors.
⮚ The platform will analyze user responses to questions on basis of
time spent and hint taken. If a user answers correctly but with a
high guess factor or incorrectly with a low slip factor, the system
may present a more challenging question.
⮚ After each assessment session, users will receive detailed
feedback on their performance, highlighting areas of strength and
weakness.
⮚ It will maintain a user dashboard where students can track their
progress over time. It will include metrics like overall
performance, improvement trends, and areas of focus.
⮚ Incorporating gamification elements, such as leaderboards, badges,
rewards and also learning features, such as discussion forums and peer
assessment.
2

3. Idea/Approach Details
Describe your Use Cases here
⮚ It can be integrated into the regular curriculum of
colleges and universities to provide ongoing feedback and
personalized learning paths.
⮚ Online education platforms can integrate this platform to
offer adaptive assessments and skill improvement modules
which will attract more learners to their platforms
⮚ Companies can use it to assess and upskill their workforce.
It can be customized to focus on specific technical areas
relevant to the company's projects and objectives.
⮚ Organizations responsible for certifying engineering
professionals can use it as a standardized assessment tool
to ensure candidates meet the required standards.
⮚ Coaching centers that prepare students for entrance exams
can use it to track student progress, identify weak areas,
and tailor their coaching accordingly.
⮚ It can be adapted for international education programs,
enabling students worldwide to benefit from adaptive
assessments and skill enhancement.
Describe your Dependencies / Show stopper here
⮚ The accuracy, relevance, and quality of MCQs in the
question bank are paramount. If the questions are flawed
or outdated, it could lead to inaccurate assessments and
hinder learning outcomes.
⮚ Collaboration and integration with educational institutions
and organizations are crucial.
Future Scope
 Implementing AI-driven virtual tutors that offer real-time
guidance and explanations can provide a more interactive
and supportive learning experience.
 the platform can include multimedia elements like videos,
simulations, and interactive graphics to offer a more
immersive learning experience.
Describe your
Technology stack here:
Artificial Intelligence Flutter, ReactJs, Django, MongoDB.

4. Team Member Details
Team Leader Name: Jainil Shah
Branch (Btech/Mtech/PhD etc): Btech Stream (ECE, CSE etc): IT Year (I,II,III,IV): IV
Team Member 1 Name: Aakash Goradia
Branch (Btech/Mtech/PhD etc): Btech Stream (ECE, CSE etc): IT Year (I,II,III,IV): IV
Team Member 2 Name: Burhanuddin Kader
Branch (Btech/Mtech/PhD etc): Btech Stream (ECE, CSE etc): IT Year (I,II,III,IV): IV
Team Member 3 Name: Saurav Shah
Branch (Btech/Mtech/PhD etc): Btech Stream (ECE, CSE etc): IT Year (I,II,III,IV): IV
Team Member 4 Name: Vashisth Zatakia
Branch (Btech/Mtech/PhD etc): Btech Stream (ECE, CSE etc): IT Year (I,II,III,IV): IV
Team Member 5 Name: Sara Kore
Branch (Btech/Mtech/PhD etc): Btech Stream (ECE, CSE etc): IT Year (I,II,III,IV): III
Team Mentor 1 Name: Type Your Name Here
Category (Academic): Dr. Vinaya Sawant Expertise (AI/ML/Blockchain etc): Domain Experience (in years):
Team Mentor 2 Name: Type Your Name Here
Category (Academic/Industry): Expertise (AI/ML/Blockchain etc): Domain Experience (in years):