HackMatch
剩 6 天實體限學生機器讀取,未人工確認

AGENTX 2.0

主辦:HackQube

參加資格

登入並在個人資料頁設定資格條件,就能看到這場比賽你符不符合。

登入
學生限制
限在學學生

來源標示的資格身分

工程科系學生研究所在學大學部在學管理學院學生醫學系學生法律系學生文/商/理及其他科系

主辦單位原文

Criteria Students enrolled in recognized colleges or universities are eligible to participate. Developers, AI enthusiasts, and aspiring innovators may participate, subject to the registration requirements. Participants must provide accurate information during registration. All participants must comply with the hackatho

關於這場比賽

AGENTX 2.0 is a national-level hackathon organized by HackQube, bringing together students, developers, AI enthusiasts, and innovators to build intelligent, technology-driven solutions to real-world challenges. The hackathon focuses on Artificial Intelligence, AI Agents, Agentic AI, Generative AI, and intelligent automation. Participants will have the opportunity to transform ideas into functional prototypes that demonstrate innovation, technical excellence, practical applicability, and real-world impact. Participants must select one of the official problem statements and develop a solution that addresses the specified challenge. Eligibility Criteria Students enrolled in recognized colleges or universities are eligible to participate. Developers, AI enthusiasts, and aspiring innovators may participate, subject to the registration requirements. Participants must provide accurate information during registration. All participants must comply with the hackathon rules and submission guidelines. Team Formation Rules Team Size: 2-4 members per team. Inter-college Teams: Allowed. Team members may belong to different colleges or universities. Inter-specialization Teams: Allowed. Members from different academic disciplines and technical specializations may collaborate. Each participant may be part of only one team. Teams must provide accurate details for all members during registration. One team must submit only one project for evaluation. Official Problem Statements Teams must select one of the following eight problem statements and develop a solution aligned with its objectives. PS01: Agentic Workflow Automation Build an AI agent that automates repetitive tasks by planning multi-step workflows, integrating external tools and APIs, executing actions, and verifying task completion. PS02: Autonomous AI Software Engineer Develop an AI agent that analyzes codebases, identifies bugs, proposes fixes, runs tests, and generates actionable reports to improve software development workflows. PS03: Multi-Agent Research & Fact-Checking Create a multi-agent system that researches complex topics, verifies information using reliable sources, identifies conflicting claims, and generates evidence-backed reports. PS04: Personalized AI Learning Agent Build an intelligent learning agent that identifies knowledge gaps, creates personalized learning paths, generates assessments, and adapts recommendations based on student progress. PS05: AI Operations Agent for Businesses Develop an AI agent that streamlines business operations by analyzing data, managing routine workflows, identifying exceptions, and recommending actions with appropriate human oversight. PS06: AI-Powered Cybersecurity Triage Create a defensive AI agent that analyzes security logs, correlates alerts, detects suspicious activities, and recommends safe remediation steps. PS07: Smart Energy & Sustainability Agent Build an AI agent that analyzes energy consumption data, identifies inefficiencies, predicts potential wastage, and recommends actionable sustainability improvements. PS08: Startup Co-Pilot Agent Develop a multi-agent system that assists early-stage founders with market research, competitor analysis, customer profiling, idea validation, and execution planning. Competition Format The competition will follow the official schedule and format announced by HackQube. The proposed process includes: Registration: Eligible participants register through Unstop in teams of 2-4 members. Problem Statement Selection: Each team selects one official problem statement from PS01 to PS08. Solution Development: Teams design and develop their solutions using appropriate technologies, APIs, frameworks, and AI tools. Project Submission: Teams submit the required project details and demonstration materials before the official deadline. Evaluation: Judges assess projects according to the published evaluation criteria. Final Results: Winners are determined based on evaluation scores and the final decision of the judging panel. The round-wise schedule, duration, submission deadline, and grand finale details will be communicated through official event announcements. Project Submission Guidelines Each team must submit the materials specified by the organizers. These may include: Project title and selected problem statement. Problem overview and proposed solution. Key features and explanation of the approach. Working prototype or functional demonstration. Source-code repository link, if required. Presentation or pitch deck, if required. Technology stack, APIs, frameworks, and AI tools used. Explanation of the solution's feasibility, impact, and scalability. All required submissions must be completed before the official deadline. Late or incomplete submissions may be disqualified. Judging Criteria Projects may be evaluated on the following parameters: Innovation: Originality and creativity of the proposed solution. Technical Implement

主題與技術要求

指定或建議技術

LLM / GenAIAI AgentsSecurityAPI / Integration

資料來源

這筆資料由 Unstop 抓取,最後更新於 2026年11月2日。內容未經人工核對,報名前請以主辦單位公告為準。

查看原始頁面