InnovateX Hackathon

InnovateX Hackathon — Registration Form

Register your team (1–3 members), then choose a problem statement to confirm your spot. No registration fee.
Registration last date: 20 October 2026, 11:59 PM IST · Submission last date: 20 October 2026.

Already registered? Log in to submit your project

Registration last date: 20 October 2026, 11:59 PM IST
Submission last date: 20 October 2026 for all three links (demo video, GitHub, PPT).
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Win an Internship at IncuXAI
This InnovateX Hackathon is our internship selection programme. Download the IncuXAI Internship Brochure to see the roles, eligibility and application process.
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InnovateX Hackathon is conducted entirely online — there is no on-site component. Registration, submissions and judging all happen online.
Team size allowed: 1–3 members. Every member's name, email and phone are required. Leader contact is used for team login (Team Code + Leader Email/Phone).
Team Name
Team name is required (min 2 chars).
Leader Details
Required (min 2 chars).
Valid email required.
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Valid 10-digit Indian number (6–9).
Required.
Required.
Required.
Team Members
Team size must be 1–3 members.
Step 2: Select a Problem Statement

Full Title

SmartAttend: Scalable & Anti-Spoofing Attendance Verification for Large-Scale Gatherings

Domain

Security · Concurrency · Web Systems

Short Description

Design and build a fast, software-driven attendance verification system capable of accurately logging attendance for 300 to 500+ attendees in a high-density venue within minutes, while strictly preventing proxy submissions, account sharing, and device delegation.

Problem Statement

In large academic settings—such as college auditoriums, lecture halls, and seminars holding 300 to 500+ students—traditional attendance methods are inefficient, time-consuming, and prone to proxy responses.

While digital self-attendance applications have emerged to speed up the process, they introduce significant security vulnerabilities. High-density environments frequently suffer from identity spoofing, credential sharing, and device delegation (e.g., one attendee submitting attendance on behalf of absent peers via account switching or physical device handover).

The challenge is to engineer an intelligent software solution that achieves three critical objectives simultaneously:

  1. Speed & Concurrency: Process attendance for hundreds of concurrent users within a tiny time window (e.g., under 2 minutes) without network congestion or system bottlenecks.
  2. Strict Non-Repudiation & Anti-Proxy: Guarantee physical presence and unique individual identity through multi-factor validation (such as cryptographic device binding, biometric verification, dynamic location/proximity validation, or synchronized token rotation).
  3. Frictionless Experience: Require minimal hardware setup from the institution and minimal effort from the attendees.

Full Title

GeoShield: Autonomous Geofencing & Real-Time Boundary Compliance Platform

Domain

Mobile · Location Services · Safety

Short Description

Develop a low-latency, battery-optimized mobile and web software system that provides continuous background geofence monitoring, dynamic boundary enforcement, and real-time alert triggers for workforce management or personnel/child safety.

Problem Statement

Real-time location monitoring is essential across high-risk enterprise operations (field engineering, hazardous zone management, workplace compliance) and personal safety applications (child or elderly safety). Traditional GPS tracking solutions often suffer from excessive mobile battery drainage, failure in indoor environments, susceptibility to GPS spoofing, and a lack of real-time multi-zone perimeter alerts.

The goal is to engineer a software system that runs background location monitoring on mobile devices without depleting battery life or requiring manual check-ins. The software must allow administrators or guardians to draw custom static, dynamic, or danger-zone perimeters (such as hazardous equipment zones, restricted office boundaries, or safe geographic borders). The system must run continuously throughout the day, detect when a user attempts to leave or enter a designated zone, and generate immediate, tamper-resistant alerts while preventing users from bypassing the system via mock locations or app termination.

Full Title

AdAgent: End-to-End Autonomous Agentic AI Marketing & Campaign Engine

Domain

Generative AI · Multi-Agent Systems · Marketing Tech

Short Description

Build an autonomous agentic AI system that converts a raw product or brand idea into a full marketing campaign by generating copy and visual posters, determining optimal channel distribution and posting schedules, and tracking post-publication engagement.

Problem Statement

Modern marketing requires seamless coordination across copywriting, graphic design, audience targeting, schedule planning, and performance analytics. Teams currently rely on fragmented tools for writing ad copy, generating poster graphics, scheduling social posts, and interpreting analytics.

This challenge requires building a multi-agent AI system where specialized autonomous agents collaborate to manage the end-to-end campaign lifecycle from a single input concept:

  1. Content & Visual Generation: Automatically generate platform-tailored ad copy and design styled promotional posters, banners, or visual marketing assets in various formats.
  2. Strategic Placement & Scheduling: Analyze target audience demographics and recommend specific channels, platforms, dates, and peak times for publishing the advertisements.
  3. Execution & Lifecycle Tracking: Automate or simulate the publication process across selected platforms and continuously track post-launch metrics (impressions, clicks, engagement, and sentiment) to evaluate campaign performance and suggest real-time optimizations.

Full Title

TalentMatch: Intelligent ATS Resume Analyzer & Active Job Recommendation Engine

Domain

NLP · Document Parsing · Job Market Data

Short Description

Develop an ATS-compliant resume parser and scoring platform that evaluates resume alignment against target job descriptions and dynamically connects to live job market data to recommend the top 5 active matching job opportunities.

Problem Statement

Applicant Tracking Systems (ATS) often fail when processing multi-column resume layouts, non-standard visual formatting, or complex document structures. Furthermore, candidates struggle to understand why their resumes fail automated screenings or which active job openings in the current market best align with their existing skillset.

This challenge requires building an end-to-end resume evaluation and matching engine:

  1. Parsing & ATS Evaluation: Ingest resume documents in multiple formats (PDF, DOCX) and accurately extract structured data into standard profile fields (contact info, skills, experience, education). Evaluate the candidate profile against a given Job Description (JD) to generate a detailed match score, identifying skill gaps, formatting issues, and keyword deficits.
  2. Live Job Matching: Connect to active job listing APIs or live web aggregators to search current hiring markets. Match the parsed candidate profile against actively open roles and present the top 5 relevant companies with active hiring positions, providing match compatibility scores and direct application links.
Please select a problem statement.