Aintra: AI Chatbot for NATA and B.Arch Admissions
Aintra is a free AI assistant built specifically for architecture aspirants in India. Unlike a general purpose chatbot, Aintra is grounded in current NATA syllabus, JEE Paper 2 patterns, COA approved college lists, and TNEA / KEAM / JoSAA counselling cutoffs from the last five years. Every answer cites the underlying data source so you can verify what you read. Aintra knows the difference between NATA Phase 1 and Phase 2, can explain why a particular score maps to a specific college tier, and can plan a 90 day NATA preparation timetable for your skill level. It is free, requires no signup, and works on phones and laptops.
Part of aiArchitek, free AI-powered NATA preparation tools by Neram Classes
Ask Aintra, the Architecture Admissions AI
No login neededAintra is a free AI assistant trained on NATA syllabus, JEE Paper 2 patterns, B.Arch college data, and TNEA / KEAM cutoffs from the last five years. It cites every fact and knows current admission rules.
Free, no signup, answers cite data sources you can verify.
How it works
How the Aintra: AI Chatbot for NATA and B.Arch Admissions works
Pick a Topic Page
Aintra runs in topic mode, so each chat is grounded in a specific dataset. Open the TNEA B.Arch page for Tamil Nadu admissions or the KEAM page for Kerala admissions. More topic spaces are added each month.
Ask in Plain Language
Type a question the way you would ask a senior. Tamil and English are both accepted. Examples: "Best B.Arch college under 2 lakhs in TN?" or "What is the cutoff trend for SPA Delhi between 2020 and 2025?"
Read the Cited Answer
Aintra responds with a direct answer, the relevant numbers, and the data source it pulled from. If a question is outside its dataset, it says so honestly instead of guessing.
Follow Up or Switch Topic
Continue the conversation to drill deeper, compare colleges, or shift to a related topic. Conversation history stays in your browser for the session and is not stored on a server.
Features
Key features
- Domain Tuned, Not GenericAintra is built on a Retrieval Augmented Generation pipeline indexed against NATA syllabus PDFs, COA approval lists, TNEA brochures, KEAM rank lists, and the JoSAA business rules document. It is not a wrapped ChatGPT.
- Cites Every FactCutoffs, fee figures, and rule clauses come with a source link or a page reference, so a candidate can verify the claim before acting on it. Hallucinated numbers are the biggest risk in admissions advice, and citations are the fix.
- Bilingual AnswersAintra accepts questions in English or Tamil and answers in the same language, with proper handling of college names, exam terms, and numbers. More Indian languages are on the roadmap.
- Knows Current 2026 RulesThe dataset is refreshed each admissions cycle. NATA 2026 dates, COA fee structure changes, and TNEA 2026 brochure updates are reflected within a week of publication.
- Topic SpacesSeparate spaces for TNEA B.Arch, KEAM Architecture, JEE Paper 2, NATA syllabus, and a general aspirant Q and A. Each space narrows the index so answers stay focused.
- No Signup, No TrackingOpen a topic page and chat. No email, no phone number, no account. Conversations live in the browser and are cleared at session end.
Why a Specialist AI Beats a General Chatbot for Admissions
General purpose chatbots like ChatGPT and Gemini are excellent for many tasks, but architecture admissions in India is a domain where they hallucinate often. Cutoffs change each year, COA approves and de-approves colleges quarterly, and counselling rules differ between TNEA, KEAM, JoSAA, and CoA centralised counselling. A model that does not know which data is current will quote a 2019 cutoff as if it were 2026, and a candidate making decisions on that answer can lose a year.
Aintra solves this with two design choices. First, every answer is grounded in retrieval, meaning the model is forced to ground its response in indexed source documents instead of relying on its training memory. Second, the dataset is curated and refreshed by the Neram Classes content team, who have been tracking architecture admissions in India since 2009. The result is an assistant that admits when a question is out of scope, cites the document for every numeric claim, and stays current with each admissions cycle.
The chatbot is part of the wider Neram aiArchitek toolkit. It pairs naturally with the College Predictor (where Aintra explains why a particular college is a match for your score), the Cutoff Calculator (where Aintra breaks down the math), and the Eligibility Checker (where Aintra interprets the COA rule for borderline cases).
FAQ
Frequently asked questions
Full tool
Save your results and track every attempt
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