2Help is a P2P platform that uses AI to connect people who need help with those ready to provide it. Unlike existing social networks, messengers, or donation platforms, 2Help is built as a structured marketplace focused on safe and efficient matching. The core of the platform is a machine-learning-driven matching engine. It analyzes user profiles and behavior, natural-language requests, and historical feedback to recommend the most relevant and trustworthy connections. Matching is designed for both urgent, situational needs and for longer-term engagements.. A dedicated AI subsystem identifies potentially fraudulent or unsafe actors by combining anomaly detection, behavioral pattern analysis, and user-generated reports. This approach aims to protect both those seeking help and those offering it - a key challenge in informal P2P interactions. User onboarding includes optional background checks and identity verification, combined with a reputation system informed by structured ratings and feedback loops. The platform’s goal is to increase trust without imposing excessive friction. The system is built as a scalable cloud-based service with a mobile-first client. The back-end leverages modern frameworks for microservices and data pipelines that enable fast iteration and integration of new ML models. This design allows local customizations (e.g., languages, regulations, NGO integration) while keeping a unified global core. By providing a structured, fraud-resistant environment for direct help exchanges, 2Help reduces overhead for NGOs and lowers barriers for individuals to engage in giving or seeking help. The platform aims to serve as a complementary infrastructure layer - not to replace charities or state programs, but to fill the gap between them and the growin, decentralized demand for human-to-human assistance.