Build AI · Professors

11 resources: 2 curated specifically for Professors. All free.

IIT Madras open-source models: IndicBERT, Dhruva ASR, IndicTrans2. Full API access for academic research. Models trained on Indian language corpora.

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Access sovereign datasets curated by IndiaAI for agriculture, health, and governance research. IRB-cleared and labelled.

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Google Colab gives you a free NVIDIA T4 GPU in the browser. No setup, no hardware. Perfect for running ML models, Jupyter notebooks, and fine-tuning experiments from any Indian city. Works on 4G.

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Hugging Face Spaces lets you host any ML model as a web app for free. 100,000+ open models including Llama, Mistral, and Whisper. India's AI builders use it for rapid prototyping without cloud bills.

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Krutrim Cloud provides Indian-sovereign GPU inference for Llama, Mistral, and Krutrim's own models. Data stays in India. Competitive pricing vs AWS/Azure. Built by Ola's Bhavish Aggarwal.

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Bhashini is India's national language AI platform: free APIs for speech-to-text, text-to-speech, and translation across 22 official Indian languages. Built by MeitY, free for Indian developers.

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LangChain is the standard framework for building LLM-powered applications: chatbots, RAG systems, agents, and pipelines. Free, open-source, extensive docs. Start with the Python quickstart.

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Vercel's free AI SDK connects Next.js or React apps to any LLM (OpenAI, Gemini, Anthropic, Groq) in minutes. Handles streaming, tool calls, and multi-step agents. Indian developers use it with Krutrim too.

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E2E Networks is India's GPU cloud provider: A100, H100, and RTX 4090s at 40–60% lower cost than AWS/Azure. Ideal for Indian startups and researchers who need training compute inside India.

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Replicate hosts 10,000+ open-source models as APIs. Run Stable Diffusion, Llama, Whisper, and more with a single API call. Pay-per-use, no server management. Good for Indian developers testing ideas.

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Kaggle gives 30 hours/week of free GPU (P100/T4) with 100GB storage. India has one of Kaggle's largest user bases. Use it for competitions, learning, and running ML experiments.

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