The Free Stack: Every Tool You Need to Build an SIH 2026 Prototype
Free GPUs, Indian government datasets, map and weather APIs, hosting and design tools — the complete free stack for building a Smart India Hackathon 2026 prototype without spending anything.
Most SIH teams lose days to problems that already have free answers. They think they need a GPU. They hunt for datasets that are sitting on a government portal. They pay for hosting three days before the demo.
Here is the whole stack, free, in the order you will actually need it.
Everything below has a genuine free tier. Free tiers change, so check the current limits before you build a plan around one.
Compute — you do not need to buy a GPU
Kaggle Notebooks. The most underused thing on this list. Kaggle gives you roughly 30 hours of GPU time per week, and the quota resets weekly. That is more than enough to fine-tune a model for a hackathon. You need an account and a verified phone number.
Google Colab. A free tier with GPU access, though sessions disconnect and the GPU you get varies. Best for experimenting; use Kaggle when you need a long run to finish.
Hugging Face. Pretrained models for almost everything — vision, speech, translation, text. Do not train from scratch. Take a model that already works and fine-tune it on your data. Two days of work becomes two hours.
The point: a small model that runs on your laptop during the demo beats a large one that crashes during the pitch. Judges ask whether it works, not whether it is state of the art.
Indian government data — where the real datasets are
SIH statements come from ministries, and juries notice immediately when a team used real data instead of inventing numbers. Most teams never look for it.
data.gov.in — India's Open Government Data platform. Thousands of datasets across ministries, most downloadable directly, many with APIs. Start here for almost any SIH statement.
Bhuvan (ISRO) — Indian satellite imagery and geospatial services. If your statement involves land, agriculture, disaster response or mapping, this is the source a jury will recognise.
Census of India / MoSPI — demographic and statistical data. Useful for anything about population, districts or public services.
Your ministry's own site. Whichever ministry issued your problem statement almost certainly publishes annual reports and data. Reading one gives you the vocabulary the jury uses, which is worth more than it sounds.
APIs
OpenStreetMap with Leaflet or MapLibre — free maps with no key and no billing surprise. Google Maps has a free tier but requires a card on file, which is a bad idea three days before a demo.
Open-Meteo — weather data, free for non-commercial use, no API key required.
Hugging Face Inference API — run models without hosting them yourself, on a free tier that is fine for a demo.
Firebase / Supabase — auth, database and storage on free tiers that comfortably cover a hackathon project.
Hosting and deployment
Vercel — free tier, deploys from a GitHub push, gives you a real URL. Best for anything web-based.
Netlify and Render — similar, with Render being useful when you need a backend service rather than just a frontend.
Hugging Face Spaces — the fastest way to put an ML demo online. If your project is a model with a simple interface, this takes minutes.
Deploy on day one, not the night before. A live URL you can open on a jury's phone is worth more than a localhost demo, and deployment always breaks the first time.
Design and the pitch
Figma — free tier. Even a rough clickable mockup shows the jury what the finished thing looks like, which matters more than most teams expect.
Canva — free tier, and faster than PowerPoint for slides that do not look like every other team's.
Excalidraw — free architecture diagrams that look hand-drawn rather than corporate. Judges read them faster. Export as PNG with a transparent background and it sits straight on the SIH template, with no white box around it.
Mermaid Live — you write the flow as text and the diagram draws itself. Worth knowing because your architecture will change three or four times before you submit, and editing one line is quicker than redrawing boxes each time.
Squoosh — cuts an image's file size by 80 to 90% with no visible quality loss, entirely in your browser. Nothing gets uploaded anywhere. This is the one that saves you on deadline night, when the portal caps uploads at 10 MB and your deck is sitting at 20.
The one most people miss
GitHub Student Developer Pack. If you have a college email address, you get free access to a long list of paid developer tools — hosting credits, domains, IDEs, APIs. It takes ten minutes to verify and most students never bother.
What to actually do with this
Do not install everything. Pick the four you need for your specific statement, and get a deployed URL and one working screen before you optimise anything.
And before you commit to a statement at all, check that your team can genuinely build it. A statement can suit your stack on paper and still need a skill nobody on your team has — which is what the problem statement matcher is for. It reads every statement on the board against your team's real skills and names the gap.
If your college internal round is close, the internal round playbook covers what the campus jury actually tests.