Winners are announced.
Please find the virtual meeting details for our Grand Finale below -
Zoom Link: https://rakuten.zoom.us/j/92746226733?pwd=8JMGWje48NGgBqPx5yUPFD7cWVlJPl.1
Password: 515256
A better tomorrow is built by today’s smart solutions. A tomorrow where online shopping is seamless, financial services are accessible to all, mobile applications anticipate your needs, and operations run smoothly through intelligent automation. Rakathon – a portmanteau of Rakuten and hackathon – is where this future begins.
Rakathon 2024, a 24-hour coding competition by Rakuten India, is all about redefining possibilities of business innovation. Whether you are an experienced professional, a budding innovator, an aspiring engineer, or simply passionate about technology, Rakathon 2024 welcomes you to join us to reimagine the possibilities with Generative AI and solve pressing issues in four key domains: Ecommerce, Fintech, Mobile and AI Ops.
Note:
Following are the suggestive sub themes/problem statements across the 4 key themes namely eCom, Fintech, Mobile and AI Ops. You may choose one of these or bring one of your own.
Brief & indicative description: We are looking at innovative ways to bring out user experience at various stages of the sale cycle. It could be before the `buy’ decision or during or after sales. While AI driven chatbots have been around for some time now, with the advent of [Gen]AI, possibilities for providing a near human like interaction has been made possible especially for after sales customer support. Some of the aspects to explore include creation of an ecommerce concierge experience thereby giving customers a differentiated and/or high level of service.
Brief & indicative description: Fraud can happen in a variety of ways. Fraudsters may generate fake impressions or clicks by manipulating various sources thereby disrupting the natural conversion funnel leading to inconsistences. Gen AI with its adaptive learning abilities including capability to handle large data sets can potentially be used for anomaly detection. We are looking at innovative ways to solve fraud(s) in the fintech space, Ads etc.
Brief & indicative description: We are looking at innovative ways to use multiple LLM agents towards synergistically and effectively solving complex problems than single LLMs broadly in the eCommerce, travel, fintech, mobile and media spaces. By dividing up the tasks among multiple specialized agents, multi agent LLMs can potentially work with better efficiency and productivity via maximizing outputs at an individual level
Brief & indicative description: With a goal to speed up deployment cycles, improving accuracy and limiting the amount of time development teams spend on maintenance tasks which again involves deployment, DevOps deals with improving productivity. We are looking at innovative ways to optimize CI/CD pipelines, automate repetitive tasks, enhance quality assurance, potential generation of deployment scripts, predicting potential issues that may arise and also ways to deal with incidents via [Gen]AI
Brief & indicative description: Virtual travel experiences are gaining traction allowing customers to explore destinations without the hassles associated with `travel’ per se. Augmented and virtual travel experiences includes virtual reality which can be made immersive for engagement. Augmented reality apps can help fuse digital content enhancing the travel experience. We are looking at innovation which can make this a possibility and/or enhance any existing solutions in this space.
Brief & indicative description: It is well known that financial products and services help attain financial goals. While there a great number of them, it can be arduous to understand the nuances of each one of them and it can pose challenges if one wants to deploy them in an optimized fashion for getting maximum returns. We are looking at innovative ideas wherein financial products can be better understood and deployed in an optimal fashion using [Gen]AI.
Brief & indicative description: Highly personalized experiences can be created via understanding of user behavior and preferences. User experience as we see it today is mostly driven with the `interfaces’ that is available today and is usually the same for everyone. With the advent of [Gen] AI, the `user experience’ can potentially be enhanced with custom interfaces, adaptive navigation etc. and thereby eliminating potential friction. There is potential for AI generated content as well. We are looking at innovative ways to bring out hyper personalization with this problem.
All shortlisted teams will receive participation certificates.
5,00,000 Rs and Trophy
3,00,000 Rs and Trophy
2,00,000 Rs and Trophy