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India
5
NDA
EdTech
Kotlin/Python
Eduport had built an integrated mobile learning platform focused on Kerala students and national-level aspirants. Students used the app to watch lesson videos, attend live classes, take mock tests, and follow AI-generated study schedules; teachers and subject experts delivered curated content and question sets. The product combined a large question/assessment engine, adaptive ML to prioritize topics for revision, a mock testing/ranking subsystem, and UX controls to minimize distractions on student devices. The Play Store listing and developer metadata identified EDUPORT ACADEMY PRIVATE LIMITED as the publisher and included support/contact details.
Content scale & quality control
Managing thousands of video lessons, question items and PYQs while ensuring pedagogical consistency and up-to-date curricula required strong editorial pipelines and QA processes.
Privacy & sensitive permissions
The app used the Accessibility Service API to block distractions; handling such permissions and the app’s Play-store data disclosure (noting “Data isn’t encrypted” in the published metadata) required careful privacy and security remediation.
AI personalization reliability
Training and validating adaptive learning models so recommendations consistently improved outcomes demanded instrumentation, offline/online evaluation and continual retraining.
We instituted a content CMS and QA pipeline so Eduport’s large course catalog maintained pedagogical consistency and reduced publishing errors. We modernized the media stack with adaptive VOD renditions, multi-CDN delivery and pre-warmed live clusters so live classes streamed reliably at peak times. We implemented an MLOps pipeline for Eduport Adapt (feature store, offline training, online scorer) and ran continuous A/B experiments to validate learning gains. We also hardened privacy and permission handling (reworking Accessibility use, adding encryption and transparent consent) and added offline/resumable downloads so students with poor connectivity could learn uninterrupted.
1. Eduport Adapt (AI personalization)
Eduport Adapt delivered AI-tailored learning paths, smart daily study targets and topic recommendations based on performance analytics.
2. Video Lessons & Live Classes
The app provided high-quality recorded video lessons and scheduled live classes by subject experts and alumni (IITians, doctors, NITs).
3. Large Question Bank & PYQs
It shipped 50,000+ practice questions and 10,000+ previous-year questions for NEET/JEE/KEAM/boards to support exam prep and targeted practice.
4. Mocks & Rank Lists
Daily and weekly mock tests ran with All-Kerala ranking to benchmark student performance under timed conditions.
5. Focus & App Controls
The product exposed screen-time limits and an Accessibility-API based blocker to restrict distracting apps (YouTube Shorts, Instagram Reels) during study sessions.
The solution improved user engagement, and a pilot adoption rate exceeding expectations.
App installs exceeded 500k and Eduport sustained a large active student base in Kerala, which the platform supported with new AI features and mock-test leaderboards. Media optimizations and pre-warmed live clusters reduced buffering incidents and improved live-class attendance and session completion rates. Adaptive personalization increased targeted revisions and reduced average time-to-master for weak topics in A/B pilots (measurable via subject-wise analytics). Privacy hardening and clearer permission UX reduced user support tickets related to accessibility/permission concerns and lowered perceived privacy risk.
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