AI/ML Community Event - Summary :
23-24 May 2024 (24 hour Hackathon)
Hack To Crack 1.0: An AI/ML Hackathon
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
- Automated AI/ML System for Detecting and Mitigating Online Fraud (Online Fraud Detection)
- AI-Multilingual-Chatbot (Natural Language Processing)
- Batch Audio Transcription Tool (Speech Recognition and Translation)
- Bridging the Language Gap: AI-Powered Local Language Transcription and Translation (Natural Language Processing)
- Spotify clone (Music Streaming)
- Whisper: AI-Powered Local Exploration with RAG-Gemini WhatsApp Bot (Conversational AI)
- ChatWithYourPDF (Document Analysis and Conversational AI)
- DocGPT (Document Processing and AI)
Winners
- First Place: Automated AI/ML System for Detecting and Mitigating Online Fraud Team Name: Veg Kabab, Team: Utkarsh Tiwari
- 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
- 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.