1const e="Four partner tracks sit on top of the main league. A team builds on its theme problem statement as usual, and can also qualify for one or more tracks by building with that partner's technology. Track prizes are in addition to main league prizes.",a=[{track:"Neo4j",prizePool:"INR 50,000 plus $1,200 Neo4j Credits"},{track:"Where U Elevate",prizePool:"INR 50,000"},{track:"Arduino",prizePool:"Hardware worth INR 37,800"},{track:"Sarvam",prizePool:"65,000 Sarvam Credits"}],o=[{id:"neo4j",partnerName:"Neo4j",trackName:"Best Use of Neo4j",oneLiner:"Build where the value sits in the relationships.",whatYouHaveToDo:"Use Neo4j as a core part of your solution, not a side database. Model your data as a graph on Neo4j AuraDB, and use GraphRAG or Aura Agents where your problem needs retrieval or reasoning over connected data. Show in your demo that the graph is doing the work.",howToQualify:"Your prototype runs on Neo4j, and your submission explains your graph model and why a graph fits the problem.",fittingProblems:[{code:"T1.1",title:"Why The Code Is Like This",themeSlug:"ai-developer-tools",themeTitle:"AI and Developer Tools"},{code:"T2.1",title:"GraphOps",themeSlug:"cybersecurity",themeTitle:"Cybersecurity"}],generalFittingText:"Or any problem with highly connected data",resources:[{label:"Neo4j AuraDB (free tier)",url:"https://console.neo4j.io"},{label:"Neo4j GraphAcademy",url:"https://graphacademy.neo4j.com"},{label:"Build Sprint workshop repo",url:"https://github.com/neo4j-graphacademy/workshop-hackathon"}],totalPrizePool:"INR 50,000 plus $1,200 in Neo4j Credits",isConfirmed:!0},{id:"where-u-elevate",partnerName:"Where U Elevate",trackName:"Where U Elevate Innovation Challenge",oneLiner:"",whatYouHaveToDo:"",howToQualify:"",resources:[],totalPrizePool:"INR 50,000",isConfirmed:!1},{id:"arduino",partnerName:"Arduino",trackName:"Best Build on Arduino",oneLiner:"Take your solution off the screen and into the real world.",whatYouHaveToDo:"Build a working hardware prototype on Arduino that senses, measures or acts on something physical. The Arduino UNO Q pairs a microcontroller with a Linux computer on one board, so you can run sensing and AI on the same device.",howToQualify:"Your prototype uses Arduino hardware as a working part of the solution, shown live or on video in your demo.",fittingProblems:[{code:"T6.2",title:"What Actually Happened On That Road",themeSlug:"automobile-ev",themeTitle:"Automobile & EV"},{code:"T7.1",title:"The Rooftop Truth Meter",themeSlug:"sustainability-green-energy",themeTitle:"Critical Minerals & Green Energy"},{code:"T7.2",title:"Sorting The Scrap",themeSlug:"sustainability-green-energy",themeTitle:"Critical Minerals & Green Energy"}],resources:[{label:"Arduino UNO Q documentation",url:"https://docs.arduino.cc/hardware/uno-q"},{label:"Arduino App Lab",url:"https://docs.arduino.cc/software/app-lab/"},{label:"Getting started with App Lab",url:"https://docs.arduino.cc/software/app-lab/tutorials/getting-started/"}],totalPrizePool:"Arduino hardware worth INR 37,800: one UNO Q Board Kit (INR 18,000) and two UNO Q Boards (INR 9,900 each)",isConfirmed:!0},{id:"sarvam",partnerName:"Sarvam",trackName:"Best Use of Sarvam",oneLiner:"Build for India in India's languages.",whatYouHaveToDo:"Use Sarvam AI models in your solution: chat, speech to text, text to speech, translation or document intelligence across Indian languages. Build for a user who is better served in their own language.",howToQualify:"Your project uses Sarvam AI models as a working part of the solution. Every qualifying project receives 500 credits.",generalFittingText:"Any problem statement where Indian language capabilities create a better user experience.",resources:[{label:"Sarvam AI docs",url:"https://docs.sarvam.ai"},{label:"Quickstart guide",url:"https://docs.sarvam.ai/api-reference-docs/getting-started/quickstart"},{label:"Models overview",url:"https://docs.sarvam.ai/api-reference-docs/getting-started/models"},{label:"Sarvam dashboard for API keys",url:"https://dashboard.sarvam.ai"}],totalPrizePool:"65,000 Sarvam Credits",isConfirmed:!0}];export{e as T,a,o as t};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.