# AIC Delhi x IronLabs AI Hackathon 2026
**Date de l'événement :** 13/06/2026
* Publié le 13/06/2026

### Date
13/06/2026

### Galerie d'image
![1.png](https://firebasestorage.googleapis.com/v0/b/memory-ai.appspot.com/o/prod%2FrKxsdSTpqCfzIFY8Y2hg%2FprojectsMedias%2FyprakXer40sEku8668hz%2Fthumbs%2F1_1600x900.png?alt=media&token=e5d55c7a-ce59-4d41-8276-e553b50602ea) 

### Ville
`#Noida` 

## Description
IronLabs AI Hackathon is a community-driven hackathon bringing together developers, creators, students, and AI enthusiasts from across Delhi NCR to build impactful AI-powered solutions in a fast-paced collaborative environment. The event is focused on innovation, rapid prototyping, AI workflows, and real-world problem solving. Participants will work on exciting problem statements, collaborate with mentors and industry professionals, and showcase their solutions in front of judges and partners. Whether you're an experienced builder or just getting started with AI, IronLabs is designed to help you learn by building, network with like-minded people, and gain hands-on exposure to modern AI development tools and workflows. Highlights • AI Hackathon — Delhi NCR Edition Build innovative AI-powered projects alongside developers, creators, and builders from across the ecosystem. • Hands-on Building Experience Work on real-world problem statements with mentorship, technical guidance, and live support. • Networking & Community Meet founders, developers, creators, startup teams, and AI communities under one roof. • Learn Through Building Gain practical exposure to AI tools, rapid prototyping, automation workflows, and product thinking. • Showcase Your Project Present your solution during demo sessions and compete for rewards, recognition, and opportunities. What Participants Will Gain • Hands-on experience building AI-powered projects • Exposure to modern AI development workflows • Networking opportunities with founders, developers, and creators • Portfolio-worthy hackathon projects • Internship, collaboration, and community opportunities • Mentorship and feedback from industry professionals Agenda 10:00 AM – 10:30 AM | Check-in & Networking 10:30 AM – 10:50 AM | Opening Ceremony & Hackathon Briefing 10:50 AM – 11:15 AM | Speaker / Sponsor Session 11:15 AM – 11:30 AM | Team Formation & Problem Statements 11:30 AM – 02:30 PM | Hacking Session I 02:30 PM – 03:00 PM | Lunch & Networking 03:00 PM – 04:30 PM | Hacking Session II + Mentor Rounds 04:00 PM | Submission Reminder 04:30 PM – 05:10 PM | Final Demos & Judging 05:10 PM – 05:30 PM | Winner Announcements & Closing Ceremony Who Can Participate? Open to students, developers, creators, founders, and tech enthusiasts interested in AI, automation, product building, and innovation. Hackathon & Competition Details A total of INR 1 Lakhs Prize money + GPU Cloud credits. 2X First prize: INR 25,000 + credits 2X Second prize: INR 15,000 + credits The hackathon will feature two competition tracks. Each participating team will choose one track and build a complete solution during the event. Track 1: AI Optimization Premier League (AIOPL) A real-world enterprise AI competition where teams build and optimize AI agents for domain-specific business tasks. Domain & dataset from enterprise use cases (such as healthcare, finance, customer support, sales outreach) will be selected. Teams will build & optimize AI agents including their harness tools, and prompts for the agent to solve provided dataset with specific tasks, hence making enterprise Agents ie specific intelligence Goal: Build the most effective domain-specialized AI agent by improving prompts, tools, evaluation harnesses, and system design to deliver reliable task performance. Format: Teams build an AI agent using prompts, tool use, retrieval, memory, orchestration, or other agent components. Teams test and improve their agent using benchmarks, evaluation harnesses, and iterative optimization. Final judging will focus on task success, reliability, quality of execution, enterprise relevance, and depth of optimization. Track 2: GTM & Creative Execution A go-to-market competition where teams figure out how a product reaches its first customers through positioning, creative assets, and launch experiments. Teams will design and execute launch strategies using landing pages, promo videos, ad creatives, messaging, and distribution experiments to maximize attention and traction. Goal: Build the strongest launch engine and generate the highest measurable reach, impressions, engagement, or early customer interest. Format: Teams choose or receive a product, target audience, or sponsor challenge. Teams create the positioning, messaging, landing page, ad creatives, promo videos, and launch plan. Teams run or simulate go-to-market experiments across relevant channels and iterate based on performance. Final judging will focus on creative quality, clarity of messaging, speed of execution, measurable traction, and overall campaign effectiveness. Hackathon Format • Team size: 2–4 participants • Problem statements will be revealed during the event • Participants will build and submit solutions on the same day • Mentors will guide teams throughout the hackathon • Final demos will be presented to judges and sponsors Focus Areas • AI Applications & Automation • AI Agents & Assistants • Go-To-Market using AI agents Rewards • Exciting prizes and sponsor rewards • Certificates for participants • Networking and hiring opportunities • Community recognition and showcase opportunities Venue WebBee Global - Fulfillment, Accounting and eCommerce Integrations via APIs and EDIs

**Lien de l'évènement :** [https://luma.com/event/evt-dS6GlejCm1qMzV9](https://luma.com/event/evt-dS6GlejCm1qMzV9)

### Pays
`#India` 

### Continent
`#Asia` 

**Médias associés :**
[Média 1](https://80954c1d.sibforms.com/serve/MUIFABojU8UBbDiX_TdcGa7Wv5VMoVB_nBZ92mkLkGlS1pJLpP7s-pVJusyN-7cG9KPrSuv3fv7TmXwuw_AoyNUShR8jZhmNDgUbZPJO2V5xYXlNz4YXOTjSb8X7Lj7PRIPzgzEWlLbA4f4uw_F8RM51EUsjSfQQko0qaby98GHMdYJVWLIXd5JzzaXBGmqN2CcYOFuqnbnaYEnw) 

## event_id
evt-dS6GlejCm1qMzV9@events.lu.ma

### Outils
`#LangChain` 



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