I D E O A L L E Y

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About The Project

AI-Powered Edutech App

Our client, an innovative education technology startup, sought to create a cutting-edge app designed to support students in their studies. The app, powered by GPT models and built using React, was intended to serve as a “study buddy” that could dynamically generate test questions and guide students through the learning process, especially those with limited time due to part-time work or other commitments.

Client Type

Edutech Startup

Industry

Education Technology (Edutech)

Project Duration

6 Months

Tools & Technologies

React, GPT Models, Node.js, Cloud-based Database

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Challenge

  • Dynamic Question Generation: The app needed to generate test questions in various formats, mimicking previous exams while also breaking down complex questions into simpler parts until the student fully understood the material.
  • User Engagement: To keep students engaged, the app had to be interactive and user-friendly, encouraging regular use despite the students' busy schedules.
  • Scalability: The app needed to scale from individual users to entire classrooms and schools, enabling collaborative study groups and file sharing among students.

Approach


To meet the client’s needs, we took a multi-phase approach to development, focusing on the core features and gradually expanding the app’s capabilities:

AI-Powered Question Generation: We integrated GPT models trained on a comprehensive database of test questions. The app could generate questions in various formats, similar to those found in actual exams. The AI also broke down complex questions into understandable segments, guiding students step by step until they fully grasped the concepts.

React Based Development: The app was built using React, ensuring a responsive and user-friendly interface. The design was focused on simplicity and accessibility, making it easy for students to navigate and use the app, even on mobile devices.

Classroom and Group Features: After initial testing in select schools, we expanded the app’s capabilities to support entire classrooms. Schools could create virtual classrooms, add students, and enable them to form study groups. Students could collaborate, share files, and engage in group discussions, making the app a hub for collaborative learning.

Predictive Sales Modeling: We developed predictive models to forecast sales trends based on different marketing scenarios, allowing the client to optimize their budget allocation and maximize ROI.

Testing and Feedback Iteration: The app was tested by select schools, and the feedback was overwhelmingly positive. Students who used the app saw a significant improvement in their mock test scores. Based on this feedback, we made further enhancements, including better UI/UX features and additional collaboration tools.

Results


Improved Student Performance

Students using the app in the pilot schools saw an average increase in their mock test scores, indicating that the app effectively supported their learning process.

Increased Engagement

The app successfully engaged students, even those with limited study time, by offering a flexible, interactive platform that they could use on their own schedule.

Scalable Solution

The development of classroom and group features made the app scalable, allowing entire schools to adopt the platform and enabling students to collaborate with their peers seamlessly.

Positive Feedback

Partnered schools reported that the app not only helped students perform better but also fostered a collaborative learning environment, making it a valuable tool in modern education.

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