GPT 4o

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

GPT-4o Family of Models

Overview

The GPT-4o family, introduced in mid-2024, is OpenAI’s advanced multimodal series designed for high-efficiency and interactive applications. Built on the foundation of the GPT-4 architecture, the 4o models process text, images, and audio, supporting highly responsive and nuanced interactions.

Key Features

Multimodal Capabilities – Handles text, images, and voice, making it versatile for applications across domains such as customer support, education, and content creation.
Real-Time Voice Interaction – Responds to audio inputs with minimal latency, allowing for natural, conversational exchanges.
Multilingual Support – Supports over 50 languages, enabling global accessibility and adaptability.
Cost-Effectiveness – The model runs twice as fast as GPT-4 Turbo while being 50% more cost-effective, making it attractive for businesses with high interaction volumes.

Variations

GPT-4o Base – Designed for general multimodal applications, optimized for balanced performance across text, image, and audio inputs.
GPT-4o Mini – A smaller, cost-effective version for high-demand, lower-cost applications, ideal for scaling large deployments.

Applications

Customer Support – Enables real-time support across text, audio, and images, enhancing user experience.
Content Creation and Translation – Automates content generation and accurate translation across multiple languages.
Accessibility Solutions – Enhances accessibility tools for people with disabilities, using voice and visual processing.

Getting Started with GPT-4o

While a dedicated tech page is forthcoming, OpenAI offers APIs for developers to experiment with the GPT-4o family in various interactive and multimodal applications.

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OpenAI GPT 4o AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI GPT 4o AI technology, developed by our community members during our engaging hackathons.

Havelo AI

Lunar missions cannot rely on human labor. Havelo AI is a fully autonomous robotic system designed to build infrastructure and plant crops on the Moon — entirely in simulation. Our AI uses simulated sensor data to navigate harsh terrain, adapt to environmental changes, assemble modular habitats, and deploy agricultural pods without human intervention. While we demonstrate this on the Moon, our real-world application is autonomous infrastructure deployment for mining, disaster zones, and extreme environments on Earth. Havelo AI is not just a robotics demo — it's a blueprint for autonomous civilization expansion.

AI Payments Approval And Fraud Intelligence

AI Payments Approval And Fraud Intelligence is a real time decisioning system that automates payout approvals while detecting fraud early and transparently. The system fully covers the core challenge requirements by instantly approving low risk payouts, escalating suspicious cases for human review, and blocking high confidence fraud using real time risk scoring. Beyond the core features, the project introduces several advanced capabilities that significantly enhance how fraud teams operate. Each decision is not only scored, but also self evaluated using confidence and regret metrics, allowing the system to measure how sure it is about its own decisions and improve over time through human feedback. Risk is tracked as a trajectory per user, making it possible to identify rising fraud risk before an incident occurs. Generative AI is deeply integrated to convert raw fraud signals into clear natural language explanations, generate counterfactual guidance, power natural language fraud investigations, describe emerging fraud patterns, summarize fraud networks, and assist human reviewers during overrides. The system also supports bulk incident response and produces daily intelligence reports for operations teams. The result is not just an approval engine, but a full payments intelligence platform designed for trading platforms and fintech companies that require speed, explainability, and continuous learning.

Deriv AI Shield

As organizations rapidly deploy AI agents and LLM-powered applications, new security risks emerge that traditional web security tools cannot address. Prompt injection and adversarial inputs can manipulate AI systems into leaking sensitive data, bypassing safeguards, or executing unintended actions. Since LLMs are designed to interpret natural language flexibly, distinguishing malicious intent from legitimate user input becomes a major challenge. Deriv AI Shield addresses this gap by introducing an AI-native Web Application Firewall tailored specifically for AI systems. The platform monitors and filters user prompts before they reach the LLM, detects jailbreak and prompt injection attempts, prevents sensitive data leakage through output guarding, and continuously analyzes behavior patterns to detect anomalies. In addition, the system includes an autonomous pentesting module that simulates real attack scenarios to identify vulnerabilities and measure security resilience. It generates actionable security insights and mitigation recommendations, enabling teams to strengthen defenses proactively. By combining real-time guardrails, behavioral monitoring, and continuous AI-driven security testing, Deriv AI Shield enables organizations to deploy AI agents safely in production environments without compromising functionality or user experience.

TradeGuardAI

TradeRiskGuard-AI is a comprehensive trade analysis and risk management ecosystem designed to empower traders with data-driven insights. It combines a high-performance FastAPI backend with a modern Next.js frontend to provide automated risk monitoring and sophisticated performance tracking. The platform goes beyond traditional metrics by integrating advanced AI to bridge the gap between raw data and psychological awareness. Key features include: AI-Powered Analysis: Leverages Google Gemini and OpenAI to detect "hidden" behavioral patterns, identifying subtle pitfalls like "afternoon fatigue" or psychological tilt that rule-based systems often miss. Automated Risk Monitoring: Real-time evaluation of customizable risk rules, including drawdown limits, stop-loss consistency, and exposure management. Exchange Integration: Seamless connectivity with platforms like Deriv and MT5 for automated trade data synchronization and live monitoring. Advanced Visualization: Interactive dashboards that transform complex trading statistics into actionable visual reports, helping traders achieve long-term consistency. The project is built for scalability and performance, utilizing SQLAlchemy (async) for persistence and Pandas for heavy data processing, ensuring that every trade is documented and every risk is guarded.

kris co AI Shopping Agent

kris.co is a next-generation AI shopping agent platform that demonstrates the future of autonomous commerce powered by Arc's USDC payment rails and Google's Gemini AI. The system enables AI agents to independently browse, evaluate, negotiate, and purchase products while handling all financial transactions in real-time. At its core, kris.co features an intelligent shopping assistant that uses Gemini AI to negotiate prices with sellers, securing better deals through simulated conversational bargaining. Once a purchase decision is made, the system processes payments instantly using USDC via Arc's stablecoin-native settlement layer, which provides predictable fees and sub-second finality. The platform showcases several key innovations: (1) autonomous AI decision-making for product selection and price optimization, (2) seamless integration of AI negotiation with blockchain payments, (3) real-time budget management and spending analytics, (4) automatic invoice generation and digital record-keeping, and (5) a complete demonstration of usage-based payment flows where AI agents pay for services, data, and APIs. Built specifically for the Arc hybrid hackathon, kris.co illustrates how AI agents can interact with web services in dynamic marketplaces, paying for exactly what they use while maintaining full financial transparency. The system simulates real commerce scenarios while highlighting Arc's capabilities for fast, low-cost, stablecoin-native settlements that make autonomous agent economies viable. This project demonstrates the practical convergence of AI automation and decentralized finance, offering a glimpse into a future where AI agents can independently participate in digital economies, negotiate terms, and execute financial transactions—all powered by Arc's reliable payment infrastructure and USDC's stable value.

FINSYAGENT

Finsy is an Intelligent Finance Automation Agent that revolutionizes financial operations within organizations. It's an AI-powered system that acts as the smartest finance team member, working 24/7 to handle everything from invoice processing to risk assessment, approvals, reporting, and fraud detection.The system collects financial data from various sources like ERPs, accounting tools, PDFs, emails, and bank feeds. It uses OCR technology to read documents, extract information, and analyze content using machine learning and anomaly detection. Finsy makes intelligent decisions by checking amounts, matching purchase orders, detecting suspicious activities, and identifying transaction risks.Key features include predictive budgeting, real-time fraud detection with evidence building, document forensics, explainable decisions, and vendor intelligence. The system automatically approves correct transactions while flagging issues for human review, maintaining comprehensive audit trails.