india-ai

Open-source AI social-media workflow engine for planning, drafting, brand voice, image generation, and platform-aware content automation.

State Winner Inferentia 2.0 | AI smart farming: crop disease CV, multilingual voice bot in 7 Indian languages, satellite NDVI analytics (Next.js + Gemini + GCP)

Lightweight yet powerful computer vision library for edge devices Raspberry Pi · Jetson Nano · Any ARM/x86 Linux board

Agro-Vision – Multilingual AI Dashboard for Indian Farmers | Crop Health, Weather, Market Prices | AgriTech + AI | NDVI Satellite Integration

AbirQu multi-language quantum SDK - AbirQu is built to deliver high-performance hybrid quantum-classical execution (CPU/GPU/cloud quantum backends), with ongoing benchmark validation against established SDKs.

Vedic Edge Computing Module for Indian Agriculture Department

Abir-Guard is a Post-Quantum Cryptography (PQC) powered security framework for AI agents, designed to protect memory, keys, and execution using hardware-backed encryption and zero-trust architecture.

Living tracker of the AI ecosystem — quantum computing research, AI summits, Silicon Valley updates, tool releases, and industry trends

An innovative platform designed to enhance access to government schemes and subsidies.

Should you buy a DGX Spark or rent H100s? Run on Mac Mini or TAALAS cluster? Full cost & performance comparison of GPU hardware and cloud for Indian AI developers — with data sovereignty, IndiaAI Mission subsidies, and Dynamo 1.0 coverage.

A comprehensive, granular dataset of the 2026 Tamil Nadu State Legislative Assembly elections including candidate details, alliances, and constituency metadata.

HTGM v2 Hindi LLM reaches 180+ hours and 48K+ steps. Session 21 shows high learning rate instability and real LLM training dynamics.

Real test results of HTGM v2 Hindi LLM after 150+ training hours. Base model output analysis, Hindi Q&A testing, and learning progress.

HTGM v2 Hindi LLM reaches 210+ hours and 54K+ steps. Session 23 shows stable validation despite high training fluctuations and real LLM training dynamics.

HTGM v2 Hindi LLM crosses 220+ training hours and approaches pre-training completion. Future plans include SFT training and HTGM v3 with TB-scale Hindi datasets.

Building HTGM v2 — a Hindi LLM from scratch using GPT architecture. Session 19 crosses 165+ hours training and 42K+ optimizer steps milestone.

Gothwad AI Gothwad AI Studio is a fluid, mobile-first developer workspace that integrates with GitHub to manage repositories, branches, files, and perform direct ZIP payload unpack & sync merges.

Building HTGM v2 — a Hindi LLM from scratch using GPT architecture. Real training logs, checkpoints, experiments, and progress shared publicly.

HTGM v2 Hindi LLM trained for 220+ hours on 41GB dataset. Real model outputs, limitations, and insights from base pre-training before SFT.

Building HTGM v2 — a Hindi LLM from scratch using GPT architecture. Real training logs, checkpoints, experiments, and progress shared publicly.