Case Study

Praxis AI LMS for Fabeminds Digitizing Mental Wellness and Counselor Training Programs

Fabeminds needed one digital foundation for mental wellness training. SDLC Corp built Praxis AI LMS to bring user roles, content access, and completion review into a clearer operating flow.

  • Role-based access for learners, counselors, trainers, and administrators.
  • Structured program delivery with organized content and training modules.
  • Clear progress tracking for activity, completion, and review records.
Praxis AI LMS dashboard preview for Fabeminds showing activity cards and reporting views
Interface preview: role-based activity, program status, and training records in one view. Platform Preview
Project Snapshot

Praxis AI LMS At a Glance

A concise view of the project, SDLC Corp’s delivery role, the platform modules, the earlier operating gaps, and the final result for Fabeminds.

Project

Praxis AI LMS for Fabeminds

A role-based learning platform created to manage structured training, recorded sessions, learner activity, completion, and certification.

Role

LMS Architecture and Development

SDLC Corp planned the platform structure, aligned role-based workflows, developed the main dashboards, and supported delivery.

Tech Stack

Modular LMS Architecture

Admin and learner dashboards, role-based access, course and module management, recorded lectures, progress tracking, and certification support.

Before

Disconnected Program Coordination

Learning material, learner access, session records, progress reviews, and completion data required separate coordination and follow-up.

After

Centralized Role-Based Operations

Administrators, learners, and reviewers received focused workspaces connected to the same programs, activities, and completion records.

Final Outcome

Centralized Learning Operations

Fabeminds gained one structured platform for program delivery, learner progress, review activity, completion status, and future growth.

YK
Project Owner
Yajuvendra K

Owned LMS strategy, client-side direction, and implementation priorities for Fabeminds.

SJ
Project Lead
Shashank Jaiswal

Coordinated workflow planning, dashboard alignment, and delivery execution.

Client & Project Overview

About Fabeminds and the LMS Requirement

Fabeminds delivers mental wellness, counseling, digital awareness, and life-skills programs for different learner groups.

The team needed a structured digital platform to replace scattered course handling with cleaner program setup, role-based access, and admin visibility. SDLC Corp implemented Praxis AI LMS to support that operating model through a custom learning platform approach, building on the same client work covered in the Fabeminds Odoo ERP case study.

Industry
Education, Mental Wellness, Counseling
Platform
Admin Portal + Learner Portal
Scope
Program Delivery + Reporting
Build a Similar LMS Platform
Requirement Map
What Fabeminds Needed to Solve
Praxis AI LMS
Structured Program Setup
Training material needed to move from scattered files into clear modules, batches, and learning paths.
Role-Based User Journeys
Admins, counselors, and learners needed separate views with the right permissions and actions.
Operational Visibility
The team needed clear records for participation, completion status, and program movement.
Completion Review Flow
Certificate-ready programs needed simple review steps before final learner recognition.
The Challenge

Manual Training Gaps Slowing Fabeminds’ Delivery

Before Praxis AI LMS, the team handled content, access updates, completion reviews, and training records across disconnected steps. As program volume increased, routine coordination became harder to control.

Unstructured Content Flow

Training material needed a clearer path from upload to assigned learning paths.

Slow Access Updates

Admins needed fewer manual steps when assigning batches and user permissions.

Unclear Batch Status

Active programs needed cleaner records for participation and completion review.

Review Flow Gaps

Certificate-ready programs needed defined checks before final approval.

Share Your LMS Challenge
Before and after LMS transformation view for Fabeminds training operations
Before view: disconnected training steps across content handling, access control, and record updates. Before LMS
Content paths unclear
Admin updates slow
Records hard to review
Our Solution

How SDLC Corp Built Praxis AI LMS

SDLC Corp developed Praxis AI LMS through an eight-step rollout that connected program administration, learner activity, progress records, and completion review within one platform.

Workflow Discovery

The team mapped how Fabeminds created programs, assigned learners, shared learning material, reviewed activity, and recorded completion.

Role and Access Planning

Admin, learner, and reviewer permissions were defined so each user could access the correct tools, actions, and records.

Program Structure Design

Programs, modules, learning material, batches, assignments, and completion stages were organised within one system structure.

Admin Console Development

The admin console was built for user management, content updates, batch assignments, access control, and program monitoring.

Learner Workspace Development

Learners received a focused workspace for assigned paths, pending activities, learning material, session access, and progress.

Review and Completion Records

Participation, completion status, approval readiness, and certificate-related data were connected to each learner record.

Permission and Record Testing

Access rules, progress states, review paths, and program records were tested across the main user roles.

Platform Rollout and Handover

The platform was prepared for operational use with documented controls and a structure that could support more users and programs.

What We Built

Product Components Delivered for Fabeminds

This section breaks down the main product pieces delivered inside Praxis AI LMS, from role-based workspaces to content records and review-ready reporting.

Build Scope
A practical build for daily program operations

SDLC Corp converted Fabeminds’ program rules into configurable screens, permissions, content structures, and activity records.

Role permissions mapped for admins and learners.
Program assets grouped into reusable content structures.
Review data captured for reporting and approvals.
Program Builder
Teams can define learning paths, group modules, and update program structures from one console.
Media Library
Recorded sessions and supporting resources are stored with the right program context.
Batch Assignment
Admins can place users into relevant batches and manage permission updates with fewer manual steps.
Operations Console
Internal teams get a structured workspace for program updates, records, and platform oversight.
Activity Records
Participation, session movement, and completion signals are captured for easier review.
Completion Review
Program teams can verify completion readiness before issuing final recognition.
Key Capabilities

Daily Platform Capabilities for Fabeminds

These capabilities focused on the day-to-day actions Fabeminds teams needed inside Praxis AI LMS, from user handling to review-ready program records.

Guided Learning Paths

Users can move through assigned modules in a clear order without depending on manual follow-ups.

User Profile Controls

Admins can update profiles, roles, batch mapping, and permission changes from a controlled workspace.

Status Review Views

Teams can check participation signals, pending items, and completion readiness without searching across files.

Recognition Readiness

Program teams can verify required criteria before issuing final learner recognition.

Permission Rules

Separate views help admins, counselors, and learners see only the actions relevant to their role.

Program Expansion Base

Fabeminds can add new wellness, coaching, counseling, and life-skills programs using the same foundation.

Technology Stack

Technical Architecture Behind the Praxis AI LMS Platform

The platform combines responsive interfaces, application logic, learner records, controlled content delivery, progress tracking, and secure role-based access for structured training operations.

Layer 01

Frontend Applications

Admin Dashboard Learner Workspace Responsive UI

Delivers role-specific interfaces for administrators, learners, trainers, and reviewers with cleaner access to daily LMS tasks.

Layer 02

Backend and Logic

App Services API Handling Business Rules

Runs course flows, role actions, content management, progress updates, review handling, and completion-related platform logic.

Layer 03

Database and Records

User Records Program Data Progress Logs

Stores learner accounts, program structures, session data, participation activity, progress history, and completion records.

Layer 04

Learning Content and Media

Recorded Sessions Course Resources Content Delivery

Supports structured delivery of learning assets, recorded sessions, and training resources inside a controlled platform workflow.

Layer 05

Progress and Completion

Course Tracking Review Status Certificate Flow

Tracks learner activity, module progress, completion status, review checks, and certificate-ready program outcomes.

Layer 06

Authentication and Access

Login Flow Role Access Permission Checks

Protects admin, learner, trainer, and reviewer accounts through secure access control and permission-based navigation.

Frontend Interfaces
Application Logic
Program Records
Content and Tracking
Access and Control
Business Impact

Measurable Outcomes Delivered for Fabeminds

Praxis AI LMS helped Fabeminds centralize learner onboarding, program delivery, activity records, completion review, and certification workflows inside one LMS platform.

250+ Learners Onboarded Across 12 Training Programs

Fabeminds used Praxis AI LMS to organize learner access, assigned modules, program movement, and participation records from one platform.

Admin Access Setup Reduced From 6 Hours to Under 1 Hour

Role rules, batch mapping, and learner permissions moved into structured admin screens, reducing repeated manual updates.

New Program Setup Time Cut From 4 Weeks to 5 Days

Reusable program structures helped the team prepare learning paths, content modules, recorded sessions, and batch access faster.

180+ Certificate-Ready Records Centralized

Completion checks, participation records, and approval status were brought into one review flow before final learner recognition.

Project Completed in 10 Weeks From Kickoff

The rollout covered discovery, role mapping, UX planning, LMS development, certification review, testing, deployment, and handover.

85% of Training Records Moved Into One System

Learner movement, course activity, access status, and completion signals became easier to review through a centralized LMS record layer.

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