Diana Kiikbayeva@diana999

HireFlow Agents is a cross-framework multi-agent hiring platform that demonstrates how specialized AI agents collaborate across multiple AI providers to automate recruitment workflows. Traditional hiring requires recruiters, hiring managers, interviewers, and decision-makers to constantly exchange information, leading to delays and inconsistent evaluations. HireFlow Agents transforms this process into a coordinated AI-driven workflow. The platform uses Band.ai as the collaboration layer, allowing agents to exchange context, perform handoffs, and coordinate decisions in real time. Five specialized agents work together throughout the hiring lifecycle: • Hiring Manager Agent – defines role requirements and hiring objectives. • Recruiter Agent – generates job descriptions and recruitment content. • Resume Screening Agent – evaluates candidate qualifications. • Interview Agent – conducts conversational AI interviews and gathers candidate insights. • Decision Agent – generates the final hiring recommendation. To demonstrate cross-framework interoperability, the platform integrates multiple AI providers. Band.ai powers workflow orchestration and communication. Featherless AI powers the Recruiter Agent and Interview Agent. AI/ML API powers the Hiring Manager, Resume Screening, and Decision Agents. The platform includes three key interfaces. The Agent Control Center provides visibility into agent status, workflow execution, and provider usage. The Command Center visualizes agent collaboration and hiring metrics. The AI Interview Room enables conversational candidate interviews with live agent participation. Built with Next.js, FastAPI, PostgreSQL, and Prisma, HireFlow Agents demonstrates how collaborative AI systems can automate recruitment workflows while remaining transparent, scalable, and extensible. A live demo is available, and test login credentials are provided in the GitHub README for judges.

CyberSecureMind is an autonomous cybercrime intelligence platform designed to help individuals, organizations, financial institutions, and cybersecurity teams rapidly identify, analyze, and understand digital threats. Modern cybercrime investigations are fragmented across multiple tools, data sources, and intelligence providers. Analysts often need to manually gather open-source intelligence, inspect suspicious websites, evaluate fraud indicators, assess financial exposure, review threat actor behavior, and interpret large volumes of information before making a decision. This process is time-consuming, expensive, and difficult to scale. CyberSecureMind addresses this challenge through a unified AI-driven intelligence ecosystem. The platform orchestrates a multi-agent investigation pipeline that automatically gathers evidence, analyzes risk, and generates actionable intelligence from a single URL or domain. The system combines multiple intelligence layers including Cybersecurity Intelligence, Financial Fraud Intelligence, Market and GTM Intelligence, Compliance Monitoring, Geospatial Intelligence, and AI-powered Threat Classification. Open-source intelligence is collected through Bright Data SERP API, while website evidence and behavioral indicators are gathered using Bright Data Browser API. AI and machine learning models then process the collected evidence to classify threats, assess severity, estimate confidence levels, and generate executive-level intelligence reports. CyberSecureMind provides a visual investigation environment that includes threat progression analysis, confidence scoring, financial exposure assessment, global threat telemetry, geospatial mapping, and intelligence dashboards. The platform transforms raw threat data into structured insights that support faster decision-making and incident response. CyberSecureMind introduces an AI Cyber Wellbeing Assistant that provides guidance and emotional support for victims of cybercrime.

This project is an AI-powered web application that helps users describe symptoms and receive AI-generated health guidance in real time.The system combines: a frontend user interface, a Flask backend server, AI processing using the Gemini API, and cloud deployment on a Vultr Virtual Machine. This project shows how AI, cloud computing, and web technologies can work together to create accessible healthcare support systems. The frontend collects user symptom descriptions, provides a clean healthcare-oriented interface, sends user input to the backend. The backend is responsible for returning generated responses to the frontend.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 💰 $10,000+ total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.