SALGINTR is a digital participatory surveillance system aimed at the early detection and monitoring of influenza-like illness (ILI) trends in Türkiye. It utilizes self-reported health data from a voluntary group of physicians to provide near real-time insights into respiratory illness activities, often ahead of traditional surveillance methods. The system addresses common challenges in conventional surveillance, such as delays and under-detection, by employing a cost-effective, scalable digital data collection method combined with automated analytics and early warning algorithms. This allows for timely alerts, epidemic thresholds, and trend forecasts that are crucial for public health decision-making. Focusing on simplicity, data integrity, and sustainability, SALGINTR showcases the effectiveness of digital health strategies in enhancing national surveillance capabilities and improving health system resilience, particularly in middle-income countries. The goal is to establish a physician-based ILI surveillance system capable of detecting seasonal outbreaks sooner than routine methods and producing weekly situational reports by 2025-2026, as demonstrated in its pilot phase. The project's health focus areas include communicable diseases, vaccination/immunization, and primary health care, targeting health professionals and adults aged 18 and above.