Irmak Bayram@bayramirmak97111821

This project is fairy-village themed a regl tracker for women who wants to be aware of their cycle

Gradient is a machine learning system that predicts academic risk by analyzing student grades, attendance rates, participation scores, and aggregate totals. Students can generate interactive packages among themselves to receive real-time risk analyses.

The integration of Large Language Models (LLMs) into algorithmic trading presents significant potential, yet pure LLM systems frequently hallucinate numerical computations and lack rigorous risk management. We present OrbiTrade, an autonomous, multi-agent LLM system designed specifically for executing options strategies. The core philosophy of this architecture is the strict separation of deterministic quantitative computation — utilizing the Black-Scholes model, the Greeks, and the Kelly Criterion — from qualitative reasoning, thereby preventing pricing and risk hallucinations. Orchestrated via LangGraph, the system operates through a specialized four-agent pipeline: each agent focuses on a different side of the decision, and each hands the next a structured, validated artifact rather than free text. Furthermore, OrbiTrade achieves continuous improvement without model retraining through a post-trade reflection loop that logs trade outcomes and extracts actionable lessons for future contextual recall.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 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. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 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.

🌎 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.