AI Learning Platform
Lana is an AI teaching assistant for schools, colleges, coaching centres, and training institutes. It tutors students 24/7 using Socratic method, auto-generates and grades assessments, creates structured study notes, runs mock interviews with instant scoring, monitors exams with webcam proctoring, and predicts which students are about to drop out.
One platform replaces 5-6 tools. Works for any subject — coding, maths, marketing, or medicine.
The problem
One educator handles 30-60 students. There's no time for individual doubt-solving, personalized feedback, or tracking who's falling behind. Students wait. Quality drops.
Creating question papers takes hours. Grading takes longer. By the time feedback reaches the student, they've already moved on. The feedback loop is broken.
Most institutions find out a student has lost interest when they stop attending. There's no data, no early warning, no system tracking engagement patterns over time.
What Lana replaces
24/7
AI tutor availability
vs 3-4 hrs/day trainer time
< 10s
Assessment generation
vs 2-3 hours manually
90%+
Grading automated
with per-question feedback
3 sec
Study notes generated
8-section structured format
How it works
Add your courses, modules, and topics. Upload PDFs or notes if you have them. The AI indexes everything to stay aligned with your curriculum.
Students log in to their dashboard. They get an AI tutor, topic-by-topic learning, study notes, daily challenges, and a gamified leaderboard from day one.
Trainers see real-time predictions, generate assessments, review proctored exams, handle escalated doubts, and download AI-generated report cards.
Product deep dive
AI Tutor
Most AI chatbots hand students the answer. Lana does the opposite — it asks follow-up questions, nudges them in the right direction, and waits for them to figure it out.
The tutor adapts to each student's enrolled courses. If a student is learning React, it references hooks and JSX. If they're studying 10th std maths, it uses quadratic equations.
use and can't be called conditionally."Assessments
Trainers pick a topic and set the difficulty. AI generates the questions, students take the test, and AI grades every answer with detailed per-question feedback.
Each student gets a strengths/weaknesses breakdown. The trainer sees all scores in one dashboard and can override any grade.
Study Notes
Students click one button on any topic in their course tree and get full revision notes — overview, key concepts, definitions, worked examples, common mistakes, and practice questions with answers.
Notes are cached after the first generation. Students can regenerate anytime if they want a fresh version. Works for Git workflows, calculus, English grammar — anything.
Git & GitHub Workflow
Generated in 3 seconds
Proctoring
When a student takes an assessment, the browser activates the webcam and monitors for multiple faces, missing faces, and tab switches. Everything is logged with timestamps.
After the exam, the trainer reviewing submissions sees every violation — who switched tabs, how many times, whether a second person appeared. No installs needed.
Predictions
Every day, Lana runs time-series analysis on each student's engagement — login frequency, topics completed, assessment scores, chat activity. It flags anyone whose pattern matches past dropouts.
Trainers see a risk score per student and per batch. When Amit's engagement drops 40% in a week, the trainer knows immediately — not 3 weeks later when he stops showing up.
Mock Interviews
Students pick their enrolled course, target role, and difficulty. The AI runs a 6-question interview — technical, behavioral, HR, or system design — adapting follow-ups based on their answers.
After the final answer, they get a score out of 100 with specific strengths, improvement areas, and detailed feedback. Trainers see all results across their batches.
Gamification
Students earn XP for every action — completing topics, passing assessments, acing mock interviews, solving daily challenges, maintaining login streaks. They level up, unlock badges, and compete on a class leaderboard.
The daily challenge gives a fresh set of questions each day tied to their course. Students who miss a day lose their streak — which turns out to be a surprisingly effective motivator.
Career Centre
Every student gets a career centre built from their real learning data — readiness scores, skill gap maps, AI-generated resumes, and placement tracking. Zero manual work.
Weighted score combining 6 dimensions of learning data. Updated in real time.
One click. The AI reads every course, assessment, interview, badge, and streak — then generates a complete, ATS-friendly resume. Students fine-tune with a visual editor.
Maps mastered skills vs employer expectations. AI recommends what to learn next.
Track every drive, application, offer, and joining date across all batches.
Every data point your students generate during learning — automatically becomes career ammunition.
Also included
When the AI can't resolve a doubt, students escalate it to their trainer — the full chat context is attached so the trainer sees exactly what was discussed.
Trainers upload PDFs, notes, or code samples. The AI indexes them and uses your actual curriculum to answer student questions — no hallucinated content.
Per-student performance reports combining assessment scores, topic completion, engagement data, and AI-generated improvement suggestions.
See exactly how much each AI query costs. Smart routing sends simple questions to cheaper models and complex ones to better models automatically.
A fresh set of course-aware questions every day. Students compete on streaks and earn XP — surprisingly effective at keeping them coming back.
Trainers manage multiple batches, monitor progress per student, assign assessments, and view cross-batch analytics from a single dashboard.
Any subject
The AI tutor, study notes, assessments, and predictions are all domain-agnostic. A Java trainer and a 10th-grade maths teacher use the same platform — the AI adapts its language, examples, and difficulty to match.
Every course you create defines its own context. The AI never leaks Java concepts into a maths class or vice versa.
Why Lana
Every AI chatbot gives answers. Lana asks questions back, building actual understanding. Students learn to think, not to copy.
Role-based access for educators and students, batch management, multi-course isolation, and institution-level analytics. Not a generic ChatGPT wrapper.
Smart model routing sends simple queries to cheap models and complex ones to capable models. Per-query cost tracking and automated budget alerts keep spending predictable.
Course structure, batches, enrollments, progress tracking, and gamification work without AI. If API costs spike, the core platform still runs.
Same platform teaches Java Spring Boot and 10th-grade trigonometry. The AI adapts language, examples, and complexity to match the course context.
Tutoring, assessments, proctoring, study notes, mock interviews, gamification, predictions, report cards, doubt escalation, document RAG, and cost tracking — all built in. No integrations needed.
Market
The Indian education and coaching market is worth over $30B and growing at 15% annually. Most institutions still use WhatsApp groups and paper-based assessments.
Lana targets schools, colleges, coaching centres, and training institutes (10-200 students) that need enterprise features at indie prices. The unit economics work at any scale — 90%+ gross margins.
Indian EdTech market
Growing 15% YoY
Educational institutions in India
Most with zero automation
Target segment
Schools, colleges & coaching centres
Gross margin per student
AI costs < ₹20/student/month
Built with
Create your account, set up courses and batches, invite students — the whole setup takes under 5 minutes.
From day one, your students get an AI tutor, auto-generated notes, gamified learning, and proctored exams. You get predictions, report cards, and a cost dashboard.
Get started free