Frantiesco Lucas@frantal97480

Siberia Voice Agent turns any business's assistant into a real-time voice agent, built entirely on the AssemblyAI Voice Agent API. A visitor clicks "Talk" and simply speaks: the agent answers questions about prices, opening hours, services, address and promotions using that business's own knowledge base (voice RAG), and captures leads mid-conversation — all with natural, low-latency speech. The entire real-time voice stack is AssemblyAI: speech-to-text (Universal-3.5), text-to-speech, semantic turn-taking and barge-in, and audio transport. We add the "business brain" through two AssemblyAI HTTP tools — search_knowledge (retrieval over each tenant's documents) and capture_lead (records the caller's name and contact, emails the owner and notifies the dashboard). Agents are provisioned automatically per business via REST (POST /v1/agents), with a voice-first system prompt, a language-matched native voice, and keyterms extracted from the knowledge base to boost transcription accuracy. The browser connects with a single-use session token, so the API key never leaves the server. It is multi-tenant, multilingual (Portuguese, English, Spanish, French) and embeddable — one row equals one voice assistant with your own knowledge and lead capture. In short, it gives a real voice to any business, without a call center. A live demo and an open-source (MIT) reference implementation are included.

ORION is an autonomous AI options trading agent built on Alpaca. Unlike agents that go straight from "find" to "trade", ORION must prove every trade through a disciplined pipeline: Market Intelligence → Options Scanner → Quant Engine → AI Analyst → Adversarial Agent → Risk Governor → Trade Validator → Execution. "NO TRADE" is a first-class, valued outcome — ORION optimizes decision quality, not trade count. Hybrid intelligence by design: all financial math is deterministic Python — market-regime classification, probability of profit and expected value (numeric integration over a lognormal terminal distribution), Greeks/IV, liquidity, an Alpha Score and a Risk Score. The LLM is used only for reasoning: an AI Analyst writes the thesis; an Adversarial Agent tries to prove the trade wrong and can reduce the Alpha Score. The LLM is optional (deterministic fallback) and never the authority on risk; every LLM output is schema-validated or rejected. Independent risk gates: a deterministic Risk Governor can veto any trade (min Alpha/liquidity, max risk, min risk-reward, non-negative expected value, spread, duplicate and exposure caps); conservative position sizing; a pre-flight Trade Validator; and hard paper-trading enforcement. On any error or ambiguity, ORION resolves to NO TRADE. Every decision is audited and journaled. Alpaca integration: trading and account operations (account, clock, positions, orders and order submission — including multi-leg options spreads) run through the official Alpaca CLI; market data (quotes, option chains, Greeks/IV) via the Alpaca REST market-data API. Developed and tested on a dedicated paper account with a $100,000 balance. Includes a premium dark, quant-styled React dashboard (EN/PT), a Monte-Carlo backtest, a searchable decision journal, an offline demo mode that runs with no keys and no network, and 93 automated tests. Paper trading only — ORION refuses to run against real money.

VESTRA AI is a hybrid wardrobe assistant that intelligently routes each request across memory, local inference, and remote multimodal AI to optimize latency, token cost, and answer quality in real time. Long Description: VESTRA AI by Frantal Company is a Hybrid AI Wardrobe Agent built to demonstrate intelligent model routing in real-world user interactions. Instead of sending every request to the cloud, VESTRA uses a Hybrid Router that analyzes each prompt and dynamically selects the best execution path: memory lookup, local inference, or remote multimodal reasoning. This reduces unnecessary token consumption, lowers latency, and improves responsiveness while preserving answer quality. The project’s core innovation is not wardrobe cataloging, but routing intelligence and execution transparency. Every request follows a visible pipeline: request intake, intent analysis, complexity estimation, route selection, execution, and response generation. The interface exposes live decision traces, confidence indicators, selected model, estimated cost, and execution timing, allowing judges and users to clearly understand why each route was chosen. VESTRA supports text and image-based prompts, conversation sessions, and a streamlined chat-first experience designed for demos and practical usage. The frontend is built with Flutter Web for a polished cross-platform interface, and the backend is powered by FastAPI with model integrations on Fireworks AI. The architecture is modular and production-oriented, enabling future expansion to additional verticals where hybrid AI orchestration is critical. By combining local/remote balancing, memory-aware retrieval, and transparent AI decisioning, VESTRA showcases how hybrid routing can make AI systems more efficient, affordable, and reliable for end users and businesses.

🌎 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.

🌎 Online Hackathon | 💻 Dates: 28 August–4 September 2026 | 🏆 $6,000 Prize Pool Build AI trading agents on Alpaca — autonomous agents and trading apps using Alpaca's Trading API, MCP server and CLI. 🌍 Fully online hackathon. Join and build from anywhere in the world.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.