AI-Powered LMS · Production Platform

Injara LMS — Intelligent Learning Platform

A next-generation learning management system built for colleges, training institutes, and enterprises — featuring a custom-trained AI chatbot with Ollama RAG pipeline, coding arena, gamified leaderboard, and 120+ industry skill modules.

Vue.js / Vite Django REST Ollama RAG Custom AI Pinia MySQL Linux Server

Open LMS Product Site

Note: The vue-lms-frontend GitHub repository is a reference implementation only. The actual production codebase, AI training data, and RAG pipeline are proprietary and not publicly available due to security and copyright restrictions.

Platform Landing
Injara LMS — AI-powered learning ecosystem with integrated Indu AI Assistant chatbot

Student Dashboard
Central hub: Practice, Assessments, Coding, Courses, Internships, Leaderboard

Indu AI Assistant
Custom-trained chatbot with Ollama RAG pipeline — answers course queries and guides learning paths

Coding Arena
Built-in code editor with compiler execution, automated evaluation, and leaderboard rankings

Community Forum
Students collaborate, ask questions and discuss solutions in a moderated learning community.

Platform Achievements

Key Performance Indicators

📦

120+

Industry Modules

🛠️

300+

Hands-on Projects

📈

98.9%

Skill Success Rate

🤖

RAG

AI Pipeline (Ollama)

⚡

99.9%

Platform Uptime

🏫

Institution Types

AI Integration

Indu — The AI Learning Assistant

A custom-trained chatbot that understands the platform's course catalog and connects to an Ollama RAG pipeline for deep, contextual answers.

🤖 How Indu Works

Indu is custom-trained on platform-specific data (courses, modules, FAQs) and when a student query requires deeper domain knowledge, it connects through an Ollama RAG (Retrieval-Augmented Generation) pipeline. This allows the chatbot to pull relevant context from the institution's knowledge base and provide accurate, grounded answers rather than hallucinating responses.

Capabilities: Explain course content • Debug code snippets • Navigate platform features • Recommend learning paths • Answer domain questions via RAG

Student Query

→

Custom Trained Model

→

Ollama RAG Pipeline

→

Vector Knowledge Base

→

Contextual Answer

Platform Modules

Student Learning Journey

01 📝 Practice Zone

02 💻 Coding Arena

03 📊 Assessments

04 🎓 Courses

05 🏆 Leaderboard

06 🤖 AI Assistant

Features

Platform Capabilities

📝

Practice Zone

Hundreds of structured practice questions across aptitude, reasoning, and verbal ability — auto-graded with performance tracking.

💻

Coding Arena

Real programming challenges with a built-in code editor, multi-language compiler execution, and automated evaluation engine.

📊

Assessments & Proctoring

Aptitude, reasoning, and coding tests with rank-based performance system and optional proctored exam mode.

🎓

Course Management

Web Development, Python, AI, Data Science, MERN Stack — industry-designed curriculum with certification on completion.

🏆

Leaderboard & Gamification

Gamified ranking system with scores, digital skill badges, and competitive leaderboards to motivate consistent learning.

💼

Internship & Placement

Apply and track internship status, access placement assistance portal, recruiter visibility dashboard and hiring company connections.

💬

Community Forum

Moderated discussion forum where students collaborate, ask questions, share solutions, and connect with industry mentors.

📈

Analytics Dashboard

Career analytics tracking learner performance, course engagement, skill progress, and industry readiness scores.

Who It's For

Designed for All Institutions

Schools

Colleges

Training Institutes

Enterprises

Architecture

Technology Stack

Vue 3 / Vite

Django REST

Ollama RAG

Custom AI Model

MySQL

REST APIs

Linux Server

JWT Auth

FAQ

Frequently Asked Questions

Ollama is a local LLM inference engine. The RAG (Retrieval-Augmented Generation) pipeline connects the AI chatbot "Indu" to a vector database of the platform's knowledge base — course content, FAQs, and domain material. When a student asks a question that goes beyond the base model's training, the pipeline retrieves the most relevant chunks from the knowledge base and provides accurate, grounded responses without hallucinating answers.

No. The vue-lms-frontend repository on GitHub is a reference/demo implementation. The actual production LMS platform (lms.inspenox.in) includes proprietary AI training data, custom RAG pipelines, institution-specific configurations, and business logic that are not publicly distributed for copyright and security reasons.

The coding arena integrates with a sandboxed compiler execution engine. Student code submissions are compiled and executed against predefined test cases in a secure, isolated environment. Results (pass/fail, runtime, memory usage) are returned instantly and feed into the leaderboard ranking system.

Yes. The platform supports institutional branding through sponsored placements and SLA-based promotional banners. Colleges can promote their admissions, programs, and campus branding directly within the LMS, creating a white-label experience for their students.

Injara LMS offers three tiers: INJARA CORE (practice modules, assessments, leaderboard), INJARA PLUS (adds coding lab, AI chatbot, proctored exams, internship access, career analytics), and INJARA ELITE (full placement assistance, recruiter dashboard, hiring company access, industry mentor sessions, and enterprise SLA support). Bulk pricing is available for universities and training institutes.