Okey Amy@okeoma_amaobi151

Forge is an autonomous software-engineering agent for teams that want AI to do more than autocomplete code. It turns GitHub issues and pull requests into structured, reviewable workflows: planning changes, inspecting repositories, editing code in an isolated sandbox, running validation commands, generating verified patches, and returning clear review output to developers. Unlike a chat assistant, Forge operates as an execution system. Maintainers can label an issue, trigger a plan, approve execution, and let Forge carry out bounded tasks in a controlled environment. It can clone a repository, reason through the request, make targeted edits, validate results, and prepare a branch or patch for human review. Forge also supports native pull request review, so teams can comment `/forge review` on a PR and receive automated feedback grounded in the repository diff and change context. Forge is deployed here: https://149.28.121.155.sslip.io/ For the Vultr prize, Forge is production-shaped and deployment-friendly: containerized, API-ready, and structured to run as a web service with `forge-api` behind a reverse proxy, making it a strong fit for deployment on a Vultr VM. For the Gemini prize, Forge demonstrates multi-step reasoning across real software workflows: understanding issue context, reading repository state, deciding what to change, adapting after tool output, validating results, and evaluating risk. For the Featherless prize, Forge uses an OpenAI-compatible model interface, making it easy to route the same orchestration layer to open-source coding or reasoning models for portability, cost control, and domain tuning. Forge is not just an AI that suggests code. It is an autonomous engineering workflow system that can plan issues, implement changes, review pull requests, validate outputs, and return evidence developers can act on.

The AI Financial Assistant is a web application where users input inventory and sales data to receive automated financial summaries, including profit/loss statements, cash flow analysis, and expense tracking. It leverages a large language model (LLM) to interpret transactional data, categorize spending patterns, and generate plain-language insights—such as identifying overstocked items, recommending pricing adjustments, or highlighting cost-saving opportunities. The LLM analyzes historical sales trends to predict future cash flow challenges, and suggests inventory reorder points. It automates report generation, answers user queries in natural language (e.g., “How can I reduce overhead costs?”), and provides tailored advice on tax deductions or budget optimization. A dashboard visualizes financial health metrics, while alerts notify users of risks like low liquidity or overdue invoices. Built with secure APIs, the app integrates with accounting software and payment platforms, ensuring data privacy through encryption. Designed for small businesses, it simplifies financial decision-making by translating raw data into actionable steps. Future updates may include multi-language support and enhanced LLM-driven scenario simulations for improved forecasting accuracy.

MalamaAI is a user-friendly application designed to support individuals in managing their skin health. By providing early diagnosis for various skin conditions, MalamaAI helps users identify potential skin issues before they become more serious. The app is particularly useful for addressing common skin problems, offering insights and guidance based on user input. With its advanced features, MalamaAI not only suggests possible remedies tailored to the specific skin issues reported by users but also provides information on best practices for skincare. The app takes into account various factors, such as skin type and lifestyle, to recommend personalized solutions. Furthermore, MalamaAI emphasizes the importance of professional medical advice. It includes a feature that advises users on when it is necessary to consult a doctor, ensuring that they seek appropriate care when needed. This combination of self-assessment tools and guidance helps empower users to take charge of their skin health while promoting responsible healthcare practices. MalamaAI aims to make skin care accessible and informative, helping individuals understand their skin better and make informed decisions about their health.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 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!