AI/ML Community Event - Summary :

23-24 May 2024 (24 hour Hackathon)

Hack To Crack 1.0: An AI/ML Hackathon

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Event Highlights

Introduction and Overview

  • Hack To Crack 1.0 was an exhilarating 24 hours AI/ML hackathon focused on tackling real-world challenges.
  • This event has been Orgnised by TFUG Lucknow in collabration with GDG lucknow and Lucknow AI labs.
  • The event was open to all skill levels, from seasoned data scientists to beginners in AI/ML.
  • Participants had the opportunity to work in teams, exploring various fields such as computer vision, natural language processing, and reinforcement learning.

Participation and Engagement

  • 33 participants joined the event, forming 9 teams.
  • The hackathon encouraged collaboration, innovation, and showcasing of talent in AI/ML technologies.
  • Participants worked on developing intelligent algorithms and implementing predictive models.

Projects and Domains

  1. Automated AI/ML System for Detecting and Mitigating Online Fraud (Online Fraud Detection)
  2. AI-Multilingual-Chatbot (Natural Language Processing)
  3. Batch Audio Transcription Tool (Speech Recognition and Translation)
  4. Bridging the Language Gap: AI-Powered Local Language Transcription and Translation (Natural Language Processing)
  5. Spotify clone (Music Streaming)
  6. Whisper: AI-Powered Local Exploration with RAG-Gemini WhatsApp Bot (Conversational AI)
  7. ChatWithYourPDF (Document Analysis and Conversational AI)
  8. DocGPT (Document Processing and AI)

Winners

  1. First Place: Automated AI/ML System for Detecting and Mitigating Online Fraud Team Name: Veg Kabab, Team: Utkarsh Tiwari
  2. Second Place: Bridging the Language Gap: AI-Powered Local Language Transcription and Translation Team Name: Quaraforce. Team: Aditya Singh, Gaurangi Prakash, Vishal Sarup mathur, Suyash pandey
  3. Third Place: Batch Audio Transcription Tool (Speech Recognition and Translation) Team Name: Pheonix, Team: Anshika Shahi, Divyansh Singh

Impact and Innovation

  • The event provided a platform for pushing the boundaries of AI innovation.
  • Participants worked on solutions to empower and assist underserved communities.
  • The hackathon fostered the development of AI technologies for social good, addressing challenges faced by individuals with disabilities and underserved populations.

Conclusion

Hack To Crack 1.0 successfully brought together AI/ML enthusiasts to collaborate, innovate, and create impactful solutions. The diverse range of projects demonstrated the potential of AI/ML technologies in solving real-world problems and contributing to a more inclusive and equitable society.