Heyed

AI/ML-Powered Educational Insights

HeyEd uses AI/ML on AWS to automate educational workflows and deliver intelligent insights for better administrative decision-making.

Technologies:AdonisJS (v6)AG GridAI/ML APIsAmazon S3AWSAWS CloudReact.js
AI/ML-Powered Educational Insights

Case Study Summary

HeyEd is a secure and scalable platform designed for educational organizations to leverage AI/ML capabilities for smarter insights and automation. The platform improves administrative efficiency through predictive analytics, intelligent document processing, personalized recommendations, secure cloud-backed storage, and role-based access control.

Industry

Education Technology & AI/ML

Timeline

24 Months

Platform

Web App

Architecture

Secure AI/ML Education Architecture

Business Challenges

01

Manual Administrative Workflows

Document management and incident reporting required significant manual effort and consumed valuable administrative time.

02

Limited Predictive Analytics

Historical data analysis provided limited ability to identify trends and generate predictive insights.

03

Personalization Gaps

Administrators lacked intelligent recommendations and personalized alerts to support effective decision-making.

04

Security & Scalability

The platform required secure and scalable AI/ML capabilities with role-based access and cloud-backed data storage.

What ExpertsCloud Built

A secure, scalable AI/ML-enabled educational platform designed to automate administrative workflows and transform institutional data into actionable insights.

01

Intelligent Document Processing

Built automated workflows for document classification, expiry detection, and compliance-related processes.

02

Predictive Analytics

Enabled insights into staff performance, venue utilization, and incident trends using AI/ML capabilities.

03

Intelligent Recommendations

Delivered data-driven guidance to help administrators optimize resources and manage incidents.

04

AI/ML-Powered Dashboards

Created intuitive dashboards and onboarding experiences to make AI-driven insights accessible to educational organizations.

How We Solved the Challenge

We combined AWS AI/ML capabilities with secure cloud infrastructure to automate manual processes and turn institutional data into actionable intelligence.

01

Automated Document Workflows

Implemented AI-driven processing to classify documents, detect expiry information, and support compliance workflows.

02

Introduced Predictive Insights

Applied machine learning capabilities to analyze historical data and identify staff, utilization, and incident trends.

03

Enabled Intelligent Decision Support

Developed recommendations and alerts to help administrators make informed operational decisions.

04

Secured AI/ML Infrastructure

Used AWS-based storage and role-based access controls to support secure, scalable AI/ML workflows.

Tech Stack

01

AI & Machine Learning

3 technologies

AWS SageMakerAI/ML APIsPredictive Analytics
02

Cloud & Storage

3 technologies

AWSAmazon S3Secure Cloud Infrastructure
03

Application & Security

3 technologies

Frontend DashboardsRole-Based Access ControlCompliance Workflows

Before VS After

Before

  • Manual document management
  • Time-consuming incident reporting
  • Limited historical data analysis
  • No predictive insights
  • Limited personalized recommendations
  • Manual compliance workflows
VS

After

  • Automated document processing
  • Automated expiry detection
  • Predictive analytics
  • Intelligent recommendations
  • AI-driven alerts
  • Automated compliance workflows

Results & Outcomes

HeyEd transformed educational administration by introducing AI/ML-powered automation, predictive insights, and intelligent decision support within a secure and scalable platform.

  • Improved administrative efficiency
  • Automated document processing
  • Faster compliance workflows
  • Predictive insights from institutional data
  • Improved incident trend analysis
  • Personalized recommendations

FREQUENTLY ASKED QUESTIONS

HeyEd is an AI/ML-powered platform designed to help educational organizations automate administrative workflows and gain intelligent insights from their data.

HeyEd uses AI/ML capabilities for predictive analytics, intelligent document processing, recommendations, alerts, and institutional data insights.

AWS SageMaker supports machine learning workloads including model training, deployment, and monitoring.

The platform supports automated document classification, expiry detection, and compliance-related workflows.

HeyEd provides insights related to staff performance, venue utilization, and incident trends to support administrative decision-making.