Abhirup Pal@abhirup

SWAT is an autonomous AI-powered system designed to detect, predict, and treat stagnant water — a major source of mosquito breeding and dengue outbreaks. It integrates Arduino-driven pH, turbidity, and flow sensors with AI analytics to identify when water conditions reach unsafe ranges. When thresholds are breached, SWAT automatically activates a pump or pH correction module to restore healthy levels. The system uses Python, Scikit-learn, Cloudflare Workers AI, ThingSpeak Cloud, and multimodal AI/ML API's to analyse patterns, predict stagnation events, and generate real-time risk scores on an interactive dashboard. SWAT is built to be low-cost, scalable, and deployable in cities, farms, schools, and developing regions where water-borne health threats are common. By combining IoT automation with AI intelligence, SWAT evolves into a self-reliant public-health protection system.

Join the next edition of our flagship AI hackathon — now featuring Google, AppliedAI, and Qdrant as official partners, with over $45,500 in prizes and exclusive partner challenges. After an incredible launch earlier this year, we’re back with the next edition of our AI hackathon series leading up to the /function1 AI Conference & Exhibition in Dubai. Tap into the power of AI to innovate, build, and take your AI skills to the next level in this high-impact hybrid experience. 📅November 14–19, 2025 • Nov 14–18: Collaborate and build online with AI enthusiasts from around the world. All projects must be submitted by end of day on November 18 • Nov 18 (Dubai): An exclusive on-site build day at Festival Arena Dubai for selected participants. • Nov 19 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: On-site participation is by invitation only. Travel and accommodation will not be covered for selected participants. Further details will be shared with those accepted. 🧑🏻‍💻 Secure your spot now—sign up before the Kick-Off Stream!