EndorsedendorsedCompleted

Educational AI Platform with Admin Mobile App

Services Covered:

Custom Software DevelopmentMobile Application DevelopmentAI and Machine LearningUI/UX Design
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Industry
Industry

Education

Duration
Duration

4 months

Budget
Budget

50K - 199K

Client Size
Start Date

1 June 2021

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
72/100
Good

Project Capability Score (PCS) estimates how capable ByteCorp is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Ultimate Strategy

mapKarachi, Pakistan

Project Summary

ByteCorp built an educational AI platform and an admin mobile app, delivering information architecture, wireframes, mockups, and a React/Node.js/Flutter implementation. The team later developed AI features including an emotion-assessment tool and a personalized recommendation system. The platform reached over 15,000 users with nearly 97% positive reviews and produced a 46% improvement in results for the organization.

Key Challenges

  • Build an educational product combined with AI to deliver a valuable learning experience
  • Find a vendor skilled in both software development and real-world AI implementation
  • Deliver a user-friendly, flexible, and scalable product for many students and large data volumes

Project Deliverables

  • Web application
  • Admin mobile application (Flutter)
  • Information architecture and wireframes
  • Mockups and prototype
  • Emotion-assessment AI tool
  • Recommendation system
  • 1-month post-launch support

Project Solution

ByteCorp began with requirements gathering and submitted a detailed project proposal and plan. The vendor led iterative design work (information architecture, wireframes, mockups, and prototype) and then developed a web application and an admin mobile application using React, Node.js, and Flutter. After launch they implemented AI features including an emotion-assessment tool and a hyper-personalized recommendation system, and provided a complimentary one-month support period post-handover. The engagement was staffed by an eight-person team spanning design, development, and ML/CV expertise.

Project Outcome

  • More than 15,000 students using the product
  • Nearly 97% positive user reviews
  • 46% improvement in organizational results due to AI features
  • Timelines generally met, with a slight delay in the AI module

Platforms

  • WebWeb
  • MobileMobile

Tech Stack

  • React.jsReact.js
  • Node.jsNode.js
  • FlutterFlutter

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The platform now has 15,000 users and garnered nearly 97% positive reviews, thanks to ByteCorp's work. With a Kanban approach to development, the team adapted to the changing scope of work well. Their dedication to customer satisfaction and clear communication made for a successful engagement.

Azhar Hussain

Employee

Note: This endorsement is based on publicly available client feedback from external review sources.

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