NetElixir AIgnition 3.0
By NetElixir
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Quick Answer
NetElixir AIgnition 3.0 is an online AI/ML hackathon for developers, data scientists, and students to solve real-world digital marketing challenges.
- Funding amount
- Up to ₹3L
- Funding type
- Competition
- Provider
- NetElixir
- Application deadline
- Closed
- Location
- Open to startups registered in India
Results & next round
Applications for this round closed on 10 June 2026. The organiser has not published a selection list that we can verify yet.
Selections for this programme are announced by NetElixir. Official links are listed under Sources below.
We update this page when results are published, and when the next round opens.
About this competition
NetElixir AIgnition 3.0 is an innovative online hackathon focused on Artificial Intelligence and Machine Learning, organized by NetElixir. This competition is designed to bring together a diverse group of developers, coders, data scientists, and technology enthusiasts to tackle real-world digital marketing challenges using cutting-edge AI/ML technologies. It emphasizes innovation, creativity, and collaboration, providing a unique platform for participants to enhance their technical skills, connect with industry professionals, and build impactful solutions.
Who Should Apply This hackathon is open to a broad audience, including coders, developers, data scientists, and machine learning enthusiasts. Both students, freshers, and experienced professionals are encouraged to participate. Individuals with a keen interest in AI, ML, and digital marketing innovation will find this event particularly rewarding.
Tracks / Themes The core themes revolve around applying AI and Machine Learning to solve practical challenges within digital marketing. Participants will explore how these technologies can transform various aspects of online marketing, from data analysis to predictive modeling.
Format & Timeline AIgnition 3.0 is an online event, allowing participants from across the country to collaborate virtually. The competition runs from June 4, 2026, to July 15, 2026. Throughout the event, participants will benefit from workshops and mentorship sessions designed to support their learning and development. Projects will be judged based on innovation, technical complexity, and real-world applicability.
Prizes Winning teams will be awarded a cash prize of ₹3,00,000. In addition to cash, participants can look forward to gift cards, exclusive goodies, and various rewards. The event also offers significant networking opportunities with AI and ML professionals, valuable learning experiences through workshops, and recognition within the AI/ML community.
Eligibility Participation is open to individuals or teams of up to 3 members. The first registered participant automatically becomes the team leader and can invite additional members to form their team.
How to Apply Registration for NetElixir AIgnition 3.0 closes on June 10, 2026. Interested individuals and teams can apply through the official Unstop event page.
Eligibility
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Full eligibility criteria — entity type, stage, sector, founder profile and registration requirements — plus your fit for this program. Sign up to view.
Organizers
NetElixir NetElixir is a US-based digital marketing and e-commerce analytics company founded in 2004, headquartered in Princeton, New Jersey. Known for its LXR Marketplace technology and data-driven digital marketing services, NetElixir serves e-commerce and retail brands…
Learn morePrizes & Awards
- Amount
- Up to ₹3L
What You Get
- Cash prize of ₹3,00,000 for winning teams.
- Gift cards, exclusive goodies, and various rewards.
- Significant networking opportunities with AI and ML professionals.
- Valuable learning experiences through workshops.
- Recognition within the AI/ML community.
- Bootstrap friendly
- Yes
How to apply
Four steps from draft to disbursement — one action each.
- 1
Submit on the official portal
Use the official application link and verify all details before final submission.
- 2
Follow up
Reach out 5–7 days after submitting to confirm receipt and ask about the review timeline.
Sources
Data on this page is compiled from official program and provider references.








