Gel vs KeyTakes

To understand community-specific water quality index, it is not enough to have data based on water quality parameters only. An increase in anthropogenic activity, population growth, and urbanization have a significant impact on all natural resources, particularly water quality, which is worsening. Along with all of these scenarios, extreme variability in weather patterns aggravates the situation by exponentially increasing the crisis to the access, availability, and affordability of clean drinking water solutions. This is becoming a major concern and crisis. Another major challenge is not having access to real-time information on dynamic variability in water contamination levels and its impact on public health, which contributes to a lack of awareness among multiple stakeholders. Hence multiple stakeholders are not able to ensure safe drinking water availability since they lack real-time knowledge of dynamical geo-spatial variation of water quality and its impact. Therefore, climatic variations along with the terrain and environmental factors lead to a dynamic spatio-temporal impact on regional water quality. Indeed the above challenges have prompted us to study all the Water Quality Index (WQI) impact factors such as terrain features, climatic variations, anthropogenic activities, agricultural practices, etc., that affect the water quality and develop a solution that could determine dynamically varying zonal water quality indices. Water quality variability of different sources will be studied by employing multiple data monitoring techniques such as remote sensing, in-situ monitoring, and so on. The GEL-IoT framework is capable of disseminating the data captured using such monitoring techniques and thereby empowering the community members and other stakeholders to be ‘water-wise’. It enables the identification of the predominant contaminants, and the diseases caused by them which the water authority or decision-makers could use to take corrective measures for a specific location. All the information collected by the GEL-IoT framework will aid the design and development of AI-based decision models integrating the geospatial models (GeoAI models) and community-centric business models which helps in the sustainability of the water purification system and formation of water-wise communities.

KeyTakes turns long YouTube videos into fast, fact-checked briefings you can read in minutes — no need to watch the whole thing. Found a video worth it but don't have 40 minutes? Just tap Share in YouTube and send it to KeyTakes. Moments later you have a clear briefing: the key points, the context that matters, references you can verify, and concrete actionables. WHY KEYTAKES • One tap — share a video from YouTube and KeyTakes does the rest • Save hours — get the substance of a long video in minutes • Fact-checked — every claim comes with references you can verify • Made to skim — clear key points, context, and actionables • Built to keep — save briefings to your Library and Favorites HOW IT WORKS 1. Tap Share on a YouTube video and choose KeyTakes 2. KeyTakes reads the transcript and builds your briefing 3. Skim the key points and dig into the references (Prefer to paste a link? That works too.) KEYTAKES PRO KeyTakes is a subscription app. Your first briefing is free — make one to see how it works, then subscribe to KeyTakes Pro to keep going. Pro gets you unlimited briefings, full fact-checks with references, and your saved Library + Favorites. • Billed monthly or annually through your Apple ID • Auto-renews unless cancelled at least 24 hours before the period ends; manage or cancel anytime in Settings Terms of Use: https://getkeytakes.com/terms Privacy Policy: https://getkeytakes.com/privacy Questions? support@getkeytakes.com