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AI Hackathon 2026

The Techvoot AI Hackathon 2026 brought teams together to build practical AI solutions in a focused, collaborative setting. Over 24 hours, teams worked closely, explored ideas in depth, and turned them into functional systems. The hackathon encouraged hands-on experimentation, shared problem-solving, and open collaboration. The outcome was a set of real, working AI projects grounded in everyday challenges.

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Where It All Started

Where It All Started

The idea was simple but ambitious: gather the brightest minds in AI and give them just 24 hours to solve real-world problems. No pre-built models, no prepared code just raw talent and a blank IDE.

From a small Slack channel discussion to a fully-fledged event, Techvoot AI Hackathon 2026 became a crucible for rapid innovation, proving that time constraints are often the best catalyst for creativity.

Inside Those 24 Hours

The 24-hour hackathon followed a natural rhythm, moving from early enthusiasm to practical problem-solving and focused execution. Each phase reflected how ideas evolve when teams stay engaged, adapt quickly, and keep building together.

1 Excitement and Overconfidence
Hour 1–4

Excitement and Overconfidence

Ideas flowed fast. Everything seemed possible. Whiteboards filled up. Architectures looked clean. Plans felt solid.

2 Reality Hits
Hour 5–12

Reality Hits

APIs didn’t behave. Models didn’t respond the way they should. Some ideas needed to be rethought completely. This is where the real hackathon began. Teams debated. Refactored. Restarted. Some even changed direction, because building AI in the real world demands adaptability.

3 The Night Shift
Hour 13–18

The Night Shift

The office got quieter, but the focus sharpened. Headphones went on. Coffee turned into fuel. There were breaks for snacks, casual conversations, and music in the background, which helped keep the mood light while work continued. And somewhere around 3 a.m., something interesting happened. Problems started getting solved.

4 Final Push
Hour 19–24

Final Push

Eyes tired. Minds sharp. Demos came together. Logic was tightened. Last-minute bugs were squashed. Everyone knew one thing: whatever happens next, this was real work.

Why a 24-Hour AI Hackathon?

When planning the Techvoot AI Hackathon 2026, the initial proposal from the management was a standard 8–9 hour sprint. During internal discussions, teams suggested extending it to a full 24-hour hackathon. The reason was simple. Teams wanted uninterrupted time to explore AI ideas properly, work closely with their colleagues, and build without stopping midway.

Where the Idea Came From

The suggestion to run a 24-hour hackathon came from the teams themselves. They wanted uninterrupted time to explore ideas, stay together, and work without breaking momentum.

How Teams Approached It

Teams chose to participate, planned their time in advance, and treated the hackathon as a shared build session. The day included focused development, open discussions, regular breaks, and relaxed moments spent with colleagues.

Why the Format Worked

The 24-hour structure supported deeper exploration of ideas while allowing teams to collaborate closely and enjoy the experience of building alongside people they work with every day.

The Five Teams Who Built Through the Night

Every team stayed the full 24 hours. Every team shipped something functional. Here’s what they built.

01

Artificial Bloom

Karamchari Mitra – Automating Hiring

An AI-driven hiring assistant designed to reduce friction in recruitment, built with practicality and scale in mind.

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02

Lantec

Aya – Voice Powered AI Assistant

A voice-first AI assistant focused on natural interaction and real-time task support, built and refined overnight.

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03

NextGen Coders

CodeGuardian AI

An automated AI-powered code review platform aimed at helping developers catch issues earlier and ship faster.

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04

OptiBite

Fudo – Food Decision Optimizer

A clever AI system tackling everyday decision fatigue, using logic, data, and smart recommendations.

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05

Voot Lab

Code Sanse – AI Code Reviewer

An intelligent AI code reviewer designed to analyse code quality and reduce manual review time.

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The Results: Recognising What Stood Out

After 24 hours of continuous building, demos weren’t about polish, they were about clarity and intent.

1

Artificial Bloom

Karamchari Mitra – Automating Hiring
Awarded for solving a real business problem with a clear AI-driven approach and strong execution.

2

Lantec

Aya – Voice Powered AI Assistant
Recognised for seamless voice interaction and practical automation.

3

NextGen Coders

CodeGuardian AI
Highlighted for improving software quality through intelligent automation.

More Than a Hackathon

why odoo erp

Techvoot wasn't just about the code. It was about the community built in the early hours of the morning. It was about mentorship from leaders, the shared struggle of debugging, and the collective triumph of deployment.

  • Network of 50+ developers & designers

  • Direct mentorship from Techvoot Senior Engineers

  • Exposure to practical AI use cases beyond client work.

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