The builder's path
For: People downstream of Sikkim's glacial lakes can't see which lakes threaten their village or what warning they would get.
“The true creator is necessity, which is the mother of our invention.”
Routes to a solution
Each route is a different kind of journey, with real people and organisations to contact at each step, starting with those in Sikkim.
Step 1
Join an incubator or startup mission
They connect you to schemes and officials.
Department of Science and Technology support from idea to startup, through technology business incubators.
The tech industry body; startup programmes and a route to industry partners.
Incubator for social enterprises in health, agriculture and livelihoods.
Lab-to-market platform for science and technology aimed at social problems.
Step 2
Win a seed grant
Prove the idea works with a small, funded prototype.
Seed money through approved incubators for proof of concept, prototypes and trials.
NITI Aayog's mission: Atal Incubation Centres and challenges for social problems.
National AI mission: datasets, compute and calls for AI applications.
Department of Science and Technology support from idea to startup, through technology business incubators.
Step 3
Pilot with a public body
A district, city or department tries it with real people.
The national startup programme: recognition, schemes and a directory of incubators.
NITI Aayog's mission: Atal Incubation Centres and challenges for social problems.
The IT ministry's hub for tech startups, programmes and incubators.
National AI mission: datasets, compute and calls for AI applications.
Ideas, sources and tools for this problem, from first interviews to funding.
National common alerting platform that carries official disaster warnings by area.
Nodal department for glacial lake hazard assessment and mitigation since February 2025.
Developing what could be the country's first dedicated GLOF Risk Mitigation Protocol.
Starter prompt
Built from this problem's brief. Paste it into Claude or any AI assistant.
Help me design and build a first working prototype for this problem in Mangan, Sikkim, India. Problem: People downstream of Sikkim's glacial lakes can't see which lakes threaten their village or what warning they would get. Who it hurts: Residents, workers and tourists in the river valleys below Sikkim's high-risk glacial lakes, in districts such as Mangan, Gangtok, Pakyong and Namchi. The moment it hurts: A night of heavy rain or an earthquake in the high mountains, with no way to know whether a lake upstream is a danger or how much time there would be. What people do today: The State studies lakes with satellites and field surveys, and early-warning sensors have been proposed; the public hears about the risk mainly through the media. Why it is still unsolved: Hazard assessments are technical and held by government departments, the lake categories are not linked to the villages downstream, and warning systems are still being planned. What solved looks like: A public map of Sikkim's high-hazard lakes showing each lake's risk category, the valleys and villages downstream, and the mitigation work under way, plus a subscription for official GLOF alerts by village, built only from verified government information. Where: Mangan, Sikkim, India First, list what you would need to learn from the people affected before building, as interview questions. Then propose the simplest version that would help, the screens or messages it needs, and the data it would use. Keep it cheap to run, accessible, and respectful of people's privacy. Flag anything you are unsure about instead of guessing.
Talk to the people who live it before you build.
“The unexamined life is not worth living.”
ὁ δὲ ἀνεξέταστος βίος οὐ βιωτὸς ἀνθρώπῳ
Get a working version in front of people fast.
Using AI is not cheating. Every tool carries the work of the people who made it, and using it well is how knowledge has always moved forward. The thinking, the care for the people who live the problem, and the judgement are still yours.
“The Analytical Engine weaves algebraical patterns just as the Jacquard-loom weaves flowers and leaves.”
Open data that fits this problem.
“Lead me from the unreal to the real, from darkness to light.”
असतो मा सद्गमय। तमसो मा ज्योतिर्गमय।
asato mā sad gamaya, tamaso mā jyotir gamaya
Tools matched to what this problem needs.
“Tasks are achieved by effort, not by wishing.”
उद्यमेन हि सिध्यन्ति कार्याणि न मनोरथैः
udyamena hi sidhyanti kāryāṇi na manorathaiḥ
Ship it responsibly, and find help and funding.
“Your right is to the work alone, never to its fruits.”
कर्मण्येवाधिकारस्ते मा फलेषु कदाचन
karmaṇy evādhikāras te mā phaleṣu kadācana
Kit written for this problem from its brief; every link was checked. Links go to each provider's own site. Zetema is not paid for any listing.