Heyed

Ensuring Secure and Compliant Operations for HeyEd on AWS

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
Ensuring Secure and Compliant Operations for HeyEd on AWS

Case Study Summary

HeyEd is a secure and scalable platform for educational organizations, designed to leverage AI/ML capabilities on AWS for smarter data insights, automated workflows, and improved administrative operations. The platform combines intelligent document processing, predictive analytics, personalized recommendations, and secure role-based access.

Industry

Education Technology & AI/ML

Timeline

6 Months

Platform

Web App

Architecture

Secure AI/ML Education Architecture

Business Challenges

01

Manual Workflows

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

02

Limited Data Analysis

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

03

Lack of Personalization

Difficulty providing personalized recommendations and alerts for staff and administrators.

04

Scalability Requirements

Need for a secure and scalable AWS-based platform capable of supporting AI/ML workloads and growing operational requirements.

What ExpertsCloud Built

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

01

AI-Powered Document Processing

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

02

Predictive Analytics

Implemented predictive insights for staff performance, venue utilization, and incident trends.

03

Intelligent Recommendations

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

04

AI/ML-Powered Dashboards

Enabled AI-driven recommendations to help administrators make better resource allocation decisions.

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
  • Limited historical data analysis
  • Limited predictive insights
  • No predictive insights
  • Limited personalized recommendations
  • Manual compliance workflows
VS

After

  • Automated document processing
  • Automated expiry detection
  • AI-powered predictive analytics
  • Intelligent recommendations
  • Secure role-based access
  • 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.

  • Integrated AI/ML capabilities into educational workflows
  • Automated document processing
  • Automated document and compliance workflows
  • Improved administrative efficiency
  • Improved incident trend analysis
  • Personalized recommendations

FREQUENTLY ASKED QUESTIONS

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

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.

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.