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 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.
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.
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.
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.
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.
SDLC Corp converted Fabeminds’ program rules into configurable screens, permissions, content structures, and activity records.
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.
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.
Frontend Applications
Delivers role-specific interfaces for administrators, learners, trainers, and reviewers with cleaner access to daily LMS tasks.
Backend and Logic
Runs course flows, role actions, content management, progress updates, review handling, and completion-related platform logic.
Database and Records
Stores learner accounts, program structures, session data, participation activity, progress history, and completion records.
Learning Content and Media
Supports structured delivery of learning assets, recorded sessions, and training resources inside a controlled platform workflow.
Progress and Completion
Tracks learner activity, module progress, completion status, review checks, and certificate-ready program outcomes.
Authentication and Access
Protects admin, learner, trainer, and reviewer accounts through secure access control and permission-based navigation.
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
Admin Access Setup Reduced From 6 Hours to Under 1 Hour
New Program Setup Time Cut From 4 Weeks to 5 Days
180+ Certificate-Ready Records Centralized
Project Completed in 10 Weeks From Kickoff
85% of Training Records Moved Into One System
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