We are designing a connected layer of AI that guides every learner from their first admission question to their first job — and beyond. Fourteen modules, three rollout phases, one trusted ecosystem for the Mumbai–Karjat education corridor.
We are designing a connected layer of AI that guides every learner from their first admission question to their first job — and beyond. Fourteen modules, three rollout phases, one trusted ecosystem for the Mumbai–Karjat education corridor.
Keep scrolling — watch the ecosystem assemble
We are building the highest-impact experiences first — guiding a student to the right program — then learning, then careers and community. Each phase has its own signature.
Guide every prospective student to the right program with conversational counselling and admission prediction.
Admission Counsellor
Prospective students & parents
Admission Predictor
Prospective students
An AI-native learning layer: tutoring, an LMS, mock tests and a unified knowledge base.
Career Advisor
Students & alumni
Learning Assistant
Current students
Native LMS
Students & faculty
Mock Tests
Aspirants & students
Resume Builder
Students & alumni
Knowledge Base
All members
Placement, portfolio, interview, alumni and academic assistants that close the loop from learning to career.
Portfolio Builder
Students
Interview Coach
Students & alumni
Placement Assistant
Students & placement cell
Alumni Assistant
Alumni
Community Assistant
All members
Academic Assistant
Faculty & administration
Every module below has a designed surface today and maps to a future edge service — grounded in real Tasgaonkar content, never a generic chatbot. Filter by rollout phase.
AI-01 · P1
A 24×7 conversational guide that answers admission questions, recommends the right course and institute, and explains eligibility, fees and scholarships.
Capabilities
AI-02 · P1
Predicts admission likelihood and suggests best-fit programs based on entrance scores, category and preferences using historical cut-off data.
Capabilities
AI-03 · P2
Maps interests and skills to careers, recommends learning paths, and tracks industry demand to keep guidance current.
Capabilities
AI-04 · P2
A personal tutor that explains concepts, generates practice questions, and adapts to each student’s pace across subjects.
Capabilities
AI-05 · P2
A learning management system with AI-generated lessons, auto-graded assessments and personalised learning journeys.
Capabilities
AI-06 · P2
Adaptive mock tests for entrance and semester exams with instant analysis and targeted improvement plans.
Capabilities
AI-07 · P2
Generates ATS-friendly resumes tailored to target roles, with content suggestions and real-time scoring.
Capabilities
AI-08 · P3
Turns projects and achievements into a polished personal portfolio site that recruiters can browse.
Capabilities
AI-09 · P3
Runs realistic mock interviews with voice, scores answers and body language, and gives actionable feedback.
Capabilities
AI-10 · P3
Matches students to openings, schedules drives, and helps the placement cell track readiness at scale.
Capabilities
AI-11 · P3
Helps alumni reconnect, find mentees, discover opportunities and give back to the community.
Capabilities
AI-12 · P3
Surfaces relevant discussions, answers FAQs, and assists moderators in keeping communities safe and helpful.
Capabilities
AI-13 · P2
A unified, searchable brain over institutional content — notes, policies, courses and FAQs — answering in natural language.
Capabilities
AI-14 · P3
Assists faculty with lesson planning, assessment generation and student-progress insights, reducing administrative load.
Capabilities
Each module is not a standalone gadget — it is a service that snaps into a shared architecture. That is why the UI can exist today while the intelligence rolls out behind it without ever breaking the experience.
Presentation layer — live today
Every module already has a designed surface in this ecosystem: cards, status badges and roadmap pages built in Next.js 15 and Tailwind. What you see is the real shell that future intelligence plugs into — not a mockup that gets thrown away.
Data & content layer — Supabase Postgres
Institutes, courses, leads and student records live behind a single content access layer. When Supabase is connected, each accessor swaps from seed data to Postgres with row-level security — without rewriting a single page.
Intelligence layer — edge functions & models
Each of the 14 modules maps to a future Supabase Edge Function calling a vetted model — retrieval-augmented over our own knowledge base, so answers stay grounded in real institutional content, not hallucinations.
Trust & governance layer
Consent-first lead capture, auditable prompts, human-in-the-loop for admissions decisions and India data-residency. AI assists counsellors and faculty — it never replaces the human judgement that families trust.
The content layer is the seam. Today the site reads typed seed data through a single set of accessors. When Supabase is connected, those same accessors query Postgres and call edge functions — so every AI module ships as a backend swap, not a redesign. The ecosystem was built AI-ready from the first commit.
We are not bolting a chatbot onto a brochure. Every module is built on a few non-negotiable principles so that families, students and faculty can trust it from day one.
Every module starts from a real student or parent question — admission, learning or career — not from technology for its own sake.
Answers are retrieved from verified Tasgaonkar content. High-stakes guidance is reviewed by humans before it reaches a family.
Counselling, learning, placement and community share one data backbone, so a student is recognised across every touchpoint.
For a family in Karjat, Panvel or anywhere along the Mumbai corridor, the promise is simple: guidance that is available at 11 PM, in your language, grounded in real Tasgaonkar data — and always backed by a human counsellor when it counts.
The AI Admission Counsellor and Predictor turn confusing cut-offs and eligibility rules into a clear, personalised shortlist.
An AI-native LMS, learning assistant and adaptive mock tests meet each student where they are and close skill gaps before exams.
Resume builder, interview coach and placement assistant prepare students for our 300+ recruiting partners.
Alumni and community assistants keep 15,000+ graduates mentoring, hiring and giving back across the ecosystem.
We would rather show you an honest roadmap than over-promise a finished product. The experiences on this page are designed and architected; the intelligence behind them is being built and validated phase by phase, with educators and students in the loop. As each module moves from planned to in design to pilot, this page updates to reflect it.
Want early access?
Prospective students and partners can register interest in our AI pilots. We will reach out when the first counselling and learning modules open for testing.
Or call +91 73870 89899