×
Highlights from Meta’s first ever Llama hackathon in India
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Groundbreaking Llama Hackathon in India: The first-ever Llama Hackathon in India, hosted by Reskilll and Meta, brought together over 270 participants in Bengaluru to create AI solutions using Meta’s Llama 3 models and WhatsApp APIs.

  • The event attracted more than 1,500 applications, with 350 teams submitting ideas in the pre-selection round.
  • 95 teams were invited to compete in a 30-hour hackathon, supported by 25+ mentors and six jury members.
  • Partners included AWS, Qdrant, Tune AI, Sarvam, and LlamaIndex.

Event statistics and themes: The hackathon showcased impressive participation and focused on three key areas for AI innovation.

  • Over 75 projects were completed during the event.
  • The hackathon centered around three themes: AI for Societal Good, Build on WhatsApp, and AI on Edge.
  • Total prize money for the event was $7,000 USD.

Winning projects and innovations: The top teams developed solutions addressing critical societal needs, leveraging AI and WhatsApp integration.

  • First place: CurePharma AI ($3,000 USD) – A healthcare solution offering personalized medication information in regional languages.
  • Second place: CivicFix ($2,000 USD) – An AI-powered WhatsApp bot for reporting and addressing local civic issues.
  • Third place: Evalssment ($1,000 USD) – An AI-driven tool to reduce educators’ workload in grading and assignment creation.
  • Best All-Women Team: Aarogya Assist ($1,000 USD) – A healthcare aggregator simplifying access to essential services via WhatsApp.

Notable projects and solutions: Several other teams presented innovative ideas across various sectors.

  • SPAM – LX Reasoning Engine: A text-to-ASL translation tool for improved accessibility for the Deaf community.
  • KaryaAI: A multi-agent approach for creating culturally diverse and contextually relevant story-based curricula.
  • Auto Bot: An edge-based personal assistant for home automation using voice commands.
  • Benjamin Button: A novel model compression technique for task-specific AI solutions.
  • KPMG – Data Citizen – Grant Guru: An AI solution helping non-profits discover and apply for grants.
  • HeyHomie: A SaaS platform enabling homepreneurs to grow their businesses on WhatsApp.

Llama 3.1 impact and accessibility: The hackathon demonstrated the versatility and accessibility of Meta’s Llama models for creating complex AI solutions.

  • Participants leveraged the latest Llama models to develop impactful projects in a short timeframe.
  • The event showcased Llama’s potential in empowering civic engagement and enhancing healthcare accessibility.

Broader implications: The inaugural Llama Hackathon in India represents a significant step towards fostering AI innovation in the region.

  • The event highlights the growing interest and expertise in AI development within India’s tech community.
  • By focusing on societal challenges, the hackathon demonstrated the potential for AI to address real-world problems in areas such as healthcare, education, and civic engagement.
  • The success of this event may pave the way for more AI-focused hackathons and collaborations between tech giants and local developers in emerging markets.
Highlights from the first-ever Llama hackathon in India

Recent News

Understanding and implementing revenue operations strategies for the AI age

Companies are merging sales and marketing teams under AI-powered systems that analyze customer data to boost efficiency and revenue growth.

OpenAI’s o3 is blowing away industry benchmarks — is this a real step toward AGI?

Microsoft's latest o3 AI model shows marked improvements in reasoning and coding tests, though practical business applications remain to be proven in real-world settings.

Instagram’s new features portend tons of AI video coming to your feed in 2025

Meta's new AI tools will allow Instagram users to edit videos through text commands, though concerns about authenticity and misuse remain at the forefront.