Free AI classes for Uttar Pradesh. Starting close to home.
We are planning hands-on AI classes in Hindi for villages, schools and colleges, beginning in the districts nearest our studio. The free tools are open to everyone today.
Regional youth
Committed to bringing applied AI skills to collegiate talent across Uttar Pradesh
Uttar Pradesh roots
Founded outside the metro bubble, in Uttar Pradesh, with genuine regional conviction
Open standards
Building curriculum around open-weight models, Python, and local compute
Applied building
Project-based hands-on problem solving rather than passive lectures
Free AI curriculum and open modules
Interactive curriculum tracks designed for collegiate engineering students, polytechnic scholars, and local youth across Uttar Pradesh.
Rollout plan
Varanasi
Collegiate builder track
All nodes are planned; no sessions are running yet
Hindi Civic NLP & Notice Extraction
Vernacular NLP TrackEducational Scope & Objectives
Bilingual Hindi-English NLP pipelines to parse district public notices, citizen gazettes, and official welfare guidelines into plain language.
- Open-weight Hindi language tokenization and transliteration benchmarks
- Extraction of deadlines, eligibility criteria, and regional civic alerts
- Zero-cloud dependencies: designed to run locally on consumer hardware
Tailored for every learner level.
Interactive curriculum tracks from village elders navigating public schemes to undergraduate computer science students authoring production MCP servers.
- TIER 01
Villages and citizens
Everyday AI in Hindi
Bringing Hindi voice interfaces, government welfare navigation, and digital fraud prevention to village elders, self-help groups, and local tradespeople.
चैन का फ़सल भाव कैसे भरें?
- Hindi voice prompts for crop advisory & mandi rates
- Digital scam detection & online payment safety
- Government welfare portal navigation (PM-Kisan, Ayushman)
First-year target: 200 households near our studio using phones safely and confidently.
Partner - TIER 02
School and college students
AI as a study partner
Teaching high school and collegiate students how to turn AI into a tireless personal tutor, extract structured notes from messy lectures, and build rigorous study habits.
Explain entropy, step by step.
Here is how I would structure your notes:
- 1. Definition
- 2. Second law, in words
- 3. A worked example
- Lecture note-taking & structured flashcard extraction
- STEM homework verification without hallucination
- Foundational programming & computational thinking
First-year target: 300 students using AI as a study partner, not a shortcut.
Partner - TIER 03
College engineers
Building with open models
Direct founder-led masterclasses for ambitious undergraduate engineers: Model Context Protocol (MCP) servers, local vLLM serving, vector databases, and typed APIs.
server.tool("lookup", schema) // typed in, typed out vllm serve model --quantization awq- Model Context Protocol (MCP) server authoring
- Local open-weight vLLM serving & AWQ quantization
- Type-safe Zod runtime contracts & pgvector cosine search
First-year target: 50 engineers who have shipped one real, tested project.
Partner
Bring a Nor AI workshop to your institution.
We are planning hands-on AI sessions for colleges, schools and panchayats in Uttar Pradesh. If you would like one at your institution, tell us and we will plan it with you.