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Digital InnovationT-1
AI and Developer Tools
Build the next generation of AI agents, LLM-powered applications, and developer productivity tools. Work on real integration challenges across APIs, production-grade AI systems, and platforms that developers actually ship with.
Section 05 · Problem Statements
Theme Problem Statements
Each problem statement comes with a tagline, brief description, and build type. Access the full brief document below.
T1.1Applied AI
Why The Code Is Like This
"Answer the question code cannot answer: why is it like this."
Build a system that reads a real codebase's history and explains why the code is the way it is, with evidence behind every answer.
T1.2Measurement and data
The Cheap Phone Test
"Built on a laptop, tested on a flagship, used on a device that costs eight thousand rupees."
Build a harness that runs an app under real Indian device and network conditions and reports what breaks, ranked by how many users it hits.
Problem briefs
- · Agent reliability at scale
- · Evals & observability for LLMs
- · On-device inference
Tech stack
LLMsRAGVector DBEdge AIAgents
Use cases
- · Copilot for ops
- · AI code review
- · Voice agents
- · Document automation
Industry partners
- · Sarvam AI
- · Microsoft
- · NVIDIA
What you walk away with
- · Production pilot with a partner stack
- · Open-source release with a brand co-mark
- · Hiring fast-track at sponsor orgs
Programme path
From brief to pilot.
01
Cohort
6-week curriculum + mentor reviews
02
Ideathon
City qualifier with partner judges
03
Build sprint
12-week build with industry briefs
04
Pilot
Production deployment with partner