Arena Chapter 2024
Oradea Arena
HackTech Arena Chapter In Numbers
90+ Participants
27 Teams
32 Partners
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Challenges
AI for Fake Review Detection
Challenge: Build an AI-driven tool that automatically detects fake reviews, enabling users to get a more accurate perspective on their point of interest. This tool filters out fraudulent reviews while also providing an automatic summary that highlights the most trustworthy ones.
AI-Driven Survey Module for Enterprise Communication Systems
Challenge: Create an AI-driven tool that generates complete surveys from just a brief description or image, enabling users to effortlessly gather targeted feedback and insights.
AI for Streamlining Interdepartmental Collaboration
Challenge: Build an AI-powered assistant that seamlessly searches across all company tools — email, chat, to-do lists, and calendars — to quickly find information, optimize workflows, and enhance collaboration by surfacing relevant data at the right time.
DevMatch: Intelligent Talent Allocation
Challenge: Create an intelligent system that automatically assigns developers to projects based on their skills and specific requirements. The system needs to ensures optimal allocation, improving efficiency and productivity in project management and candidate selection.
AI-Driven Waste Collection Tracking for Smart Cities
Challenge: Using a provided dataset of videos from real-world waste collection operations, participants are tasked with developing an AI-based solution to automatically detect and count the number of bins collected. The AI system should be able to analyze the videos, identify different types of waste bins, and accurately track each bin as it’s handled by waste collection vehicles.
Automating Application Testing with Multimodal LLMs
Challenge: Testing applications is boring, complex and manual. Let’s automate that. The system should understand how a user operates an application and then it should be able to replicate the process, even if some of the details change. Will the solution be using Visual LLMs? Something else? Be creative and show us what ideas you have.
AI-Driven Medical Referral System for Optimal Patient-Specialist Matching
Challenge: Build an AI-driven medical referral system that automatically matches patients to the right specialists based on their medical history and previous treatments. This tool will streamline the referral process by suggesting optimal referral times based on specialist availability and the urgency of the patient’s condition, ensuring timely and accurate care.
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