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Pinned update
Open source AI hackathon is postponed to 12-13 January This update is for participants only
About the hackathon
Whether you are an amateur, an AI enthusiast, or a veteran ML engineer, we invite you to participate in The Fifth Elephant Open Source AI hackathon. We will have experienced mentors giving you guidance on the projects that you are working on. And did we say cash prizes!?!?!
You can submit your project idea and outline here.
Things to keep in mind
- Only open-source models and projects will be valid. So please use LLaMa 2 model by Meta or other open-source models only.
- Jury members will need a link to a demo, and your GitHub repo for the project.
- A public video link to the demo will also be required. You can use this for the in-person presentation to the jury members as well.
Themes
Participants can propose projects which cover the spectrum of GenAI. Following are some of the themes you can work on, and which the jury will consider:
- AI for Scientific Research: e.g. Protein folding models, climate models, drug discovery, image recognition for scientific research, simulations for material science, epidemiology, and more.
- AI for inclusivity and accessibility: e.g. STT/TTS, automated audio descriptions (for non-voice content), automated color blindness correction, AI powered sign language generation, real-time AI powered captioning display for events, educational resources, and content translation across languages by leveraging multi-lingual models, adaptive content for differences in learning ability and/or neurodivergence, etc.
- AI and creative expression: e.g., generative audio, video, text and visuals and ways to combine these in a production-oriented direction, including AR/VR/Gaming and OTT implementations.
- AI in education: e.g., personalized learning plans, adaptive learning plans, content creation, translation with context, AI tutors, productivity tools, well-being improvement tools, etc.
- AI for India: for e.g., India-specific law, models that focus on indic languages, renewable energy optimization, disaster response and relief, education accessibility.
Curators of the hackathon
Divya Tak: co-founder at Joyus, a multi-disciplinary creative. Divya also runs the AI for creatives community.
Bharat Shetty is an AI/ML Consultant. He has worked for Airtel Labs and other organizations on AI/ML/NLP platforms and products, across diverse verticals such as conversational AI, EdTech, IOT, and healthcare. Bharat is the editor of The Fifth Elephant Winter edition, and papers discussion community.
Mentors - to be announced
Jury - to be announced
Submission guidelines for projects
All submissions for the projects must be made here. Your ideas and projects are iterative. Use this opportunity to discuss your ideas with the curators and mentors, and improve on them as the hackathon date approaches.
Submissions are also helpful to find collaborators for your projects. Be open and forthcoming in sharing your ideas.
Prizes
Five prizes of Rs. 1,00,000 (one lakh rupees) each, will be given to winners at the hackathon. One prize is allocated for each theme.
Contact information
If you have questions about the format of the hackathon, post a comment here.
Join The Fifth Elephant Telegram group or the WhatsApp group.
Follow @fifthel on Twitter.
For any inquiries, call The Fifth Elephant on +91-7676332020.
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The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Supported by
IC
Infant Sam Christian
@thelonesamurai
SimGen - the ultimate solution for generating synthetic datasets.
Submitted Nov 18, 2023
Problem Statement
Generating Synthetic Dataset of Indian Roads - Problems
- Generate photo-realistic images of urban Indian driving scenes.
- Simulate complexities like traffic congestion, unexpected road elements, and various weather conditions.
- Enable real-time interaction with the server to produce photorealistic images.
Solution
- Simulation based solution that can be integrated with Unity to capture the simulation and process it to provide a generated realistic image dataset.
- Enable real-time configuration and simulation to create a varied level of dataset of huge size and different condition.
- The tool process the video recorded in to frame and processes “n” frames from each video in equal interval.
- The image taken is processed through a pre-finetuned version of StableDiffusion and 2 levels of controlnets.
- The final processed images and the intermediary steps are stored in a database.
Comments
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Supported by
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