Emmanuel Olayinka@Dev-emmax

**AURA (Autonomous Unified Risk & Alpha Agent)** is an autonomous AI trading agent designed to make trading decisions that are explainable, bounded, and fully auditable. It combines probabilistic LLM-powered reasoning with a deterministic risk engine that the AI cannot override. For every trading opportunity, AURA uses a four-stage pipeline: the **Market Agent** analyzes technical indicators such as SMA, RSI, MACD, and ATR; the **Strategy Agent** develops a BUY, SELL, or HOLD trade thesis; the **Critic Agent** performs adversarial self-critique by actively attempting to identify weaknesses in the proposed trade; and finally, the **Deterministic Risk Engine** independently validates confidence, risk/reward, position size, and portfolio exposure before approving or rejecting the trade. Approved decisions can be executed through the **Alpaca paper-trading API**, while every decision—including rejected trades—is stored in SQLite as a replayable audit trail. Built with **Python, Groq LLMs, Alpaca, Pandas, SQLite, and Streamlit**, AURA also includes a dashboard for monitoring autonomous trading activity. The project is designed as a research prototype demonstrating how AI agents can operate safely in high-stakes environments by separating AI reasoning from deterministic governance.

Ai WarrantyVault is an AI-powered, privacy-first warranty manager that helps users organize and track product warranties in seconds. Instead of manually entering purchase details or storing sensitive data in the cloud, users simply upload a receipt or warranty card. Our AI extracts key information—including the product name, store, purchase date, and warranty duration—and instantly generates a clean digital warranty card. WarrantyVault automatically calculates warranty expiry dates, displays the current warranty status, and lets users download an .ics calendar reminder so they never miss a claim deadline. The application supports multiple receipts in a single session while keeping all data local to the browser. Unlike traditional warranty management apps, WarrantyVault requires no login, no database, and no permanent cloud storage. All information exists only during the current session, giving users complete control over their personal purchase data. Built with React, TypeScript, Tailwind CSS, Supabase Edge Functions, and Fireworks AI Vision, WarrantyVault combines modern AI with a simple, secure, and intuitive user experience. Scan. Track. Never Miss a Warranty Again.

Sieve is a hybrid, token-efficient routing agent for AMD Developer Hackathon Act II Track 1. It reads tasks from /input/tasks.json, classifies each into one of eight capability categories — factual QA, math, logic, summarization, sentiment, NER, code debugging, and code generation — and writes results to /output/results.json. The core principle is zero-token-first: any task solved inside the container costs no Fireworks tokens while still counting toward accuracy, so Sieve maximizes local solve rate before spending anything. Routing runs as a three-layer cascade. Layer one uses deterministic solvers for categories that can be computed rather than guessed: math is parsed and executed, code is run and behaviorally verified, and logic tasks use a structural multiple-choice detector. Layer two hands remaining tasks to a bundled small local model for factual QA and summarization, gated by a confidence check. Layer three escalates only low-confidence tasks to Fireworks AI, selecting the cheapest model that clears the accuracy gate, capping max_tokens per category, and using terse answer-only prompts with reasoning disabled to keep the token bill minimal. Exact and semantic answer caching prevents repeated spend, and a per-task time and token budget keeps every task within the scoring limits. The container is fully self-contained and reproducible, reading Fireworks credentials, base URL, and the allowed model list from the runtime environment rather than hardcoding them.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.