Dates
Kick-Off Day - 21st April
Ideation & Mentoring - 22-24th April
Project Submission - 25th April
Winners Announcement - 26th April
Eligibility
Each application must be innovative and directly enhance the digital presence of participants using a chatbot designed to attract potential recruiters and investors. The primary goal is to develop chatbots that serve as effective tools in professional networking and engagement.
Project and Submission Requirements
● Demo Video: A video demonstration not exceeding 5 minutes should be uploaded to a publicly accessible drive or video platform.
● Code/Prototype/Proof of Concept: A link to a public GitHub repository (or similar platform) containing the project code or prototype.
● Presentation: A minimum of 5 slides, submitted as a PowerPoint or PDF.
Prizes
The team that wins the hackathon will be awarded an exclusive opportunity, to win a RABBIT R1 AND: a three-month internship at Raen AI. This internship will allow the winning team member, to further develop their skills, work on cutting-edge AI projects, and gain invaluable industry experience at a leading AI company. This reward not only recognizes the team's outstanding performance during the hackathon but also provides a significant professional development opportunity.
Judging Criteria and Winner Selection
The following criteria will guide the judging process:
Innovation and Originality: The solution must demonstrate creativity in its approach to using chatbots for enhancing digital presence. Innovative uses of AI and integration techniques that improve user interaction and effectiveness in attracting recruiters and investors will be highly valued.
Relevance and Impact: The application should address specific challenges faced by participants in establishing a digital presence and engaging with potential stakeholders. The solution must clearly demonstrate how it helps in making connections with recruiters and investors.
Technical Implementation: Judges will assess the complexity and sophistication of the technical solution. This includes the use of advanced programming, utilization of open-source libraries, and how effectively the chatbot integrates with the landing page.
Both high-code and low-code solutions will be evaluated for their technical merit.
User Experience and Design: The usability and design of the chatbot and landing page are crucial. The solution should offer an intuitive, engaging user interface that enhances the user’s digital persona and makes interactions with potential recruiters and investors seamless and impactful.
Scalability and Potential for Real-World Application: Projects should not only be effective on a small scale but also have the potential to be scaled up. Solutions that show potential for broader adoption and real-world applicability will score highly.
Completeness and Polish: The extent to which the project is developed and ready for immediate use will be considered. Judges will look for projects that are well-rounded, bug-free, and demonstrate a polished final product.