# Kisan Salahkaar > Full AI-readable context for Kisan Salahkaar. Canonical site: https://kisansalahkaar.codingliquids.com Last updated: April 4, 2026 ## Snapshot Kisan Salahkaar is a multilingual agricultural advisory web app. It combines crop planning help, pest and disease triage, soil-report interpretation, weather guidance, and market guidance in a browser-based workflow. ## Reliability notes - Generated guidance should be verified before field action. - Weather and market outputs are not yet backed by a dedicated official live feed inside the public product. - Uploaded photos and soil reports may be processed by the AI provider to generate responses. ## Core pages - [Home](https://kisansalahkaar.codingliquids.com): Interactive entry point for the product. - [About Kisan Salahkaar](https://kisansalahkaar.codingliquids.com/about): Overview of the product, intended audience, capabilities, and contact path. - [How Kisan Salahkaar Works](https://kisansalahkaar.codingliquids.com/methodology): Methodology, source transparency, and important limitations for the app. - [Kisan Salahkaar FAQ](https://kisansalahkaar.codingliquids.com/faq): Concise answers to common questions about the product and its limitations. - [Kisan Salahkaar Privacy and Data Use](https://kisansalahkaar.codingliquids.com/privacy): Privacy-focused summary of user inputs, analytics, AI processing, and third-party services. # About Kisan Salahkaar > What Kisan Salahkaar does, who it serves, and how to contact the team for licensing or partnership discussions. Last updated: April 4, 2026 Kisan Salahkaar is a multilingual agricultural advisory web application built to make farm-support workflows easier to access from a browser. The product brings together several common farm-support tasks into one interface so users can move from a location or plant image to a practical next step without hopping across multiple apps. ## Core capabilities The public product currently focuses on crop recommendations, pest and disease triage, soil-report interpretation, weather guidance, and market-price guidance. - Crop recommendations from location, soil type, and weather pattern inputs. - Plant image analysis for diagnosis and remedy suggestions. - Soil report upload support for more complete agricultural recommendations. - Multi-language support for broad regional accessibility. ## Who it serves The app is suitable for individual farmers as well as organizations that support farmers at scale, including state programs, NGOs, agri-platforms, and extension teams. The footer of the product already points interested partners to licensing conversations for white-label or deployment work. ## Contact and licensing For licensing, partnership, or deployment discussions, use the contact link provided on the site. The public website points to the maintainer contact form hosted at sagnikbhattacharya.com/contact. This overview was last updated on April 4, 2026. # How Kisan Salahkaar Works > Methodology, data sources, AI usage, and limitations for crop guidance, plant diagnosis, soil reports, weather guidance, and market guidance. Last updated: April 4, 2026 This page explains what inputs the app uses, which systems support those flows, and where users should be careful about verification. It is written to make the product easier to evaluate by users, reviewers, search systems, and LLM-based agents. ## Inputs the product uses Different features rely on different inputs. Crop recommendations use user-provided location, soil type, and weather pattern details. Pest and disease diagnosis uses an uploaded plant image. Complete recommendations use an uploaded soil report plus location context. ## Generation and model layer The app uses Google Gemini through Genkit for text generation and reasoning. That model layer produces the generated agricultural guidance shown in the app. Outputs are generated from the user inputs supplied during the session rather than from a public article database maintained on the site. ## Supporting services Location autocomplete uses OpenStreetMap Nominatim. Browser geolocation may be used when the user asks the app to detect their current location. Product analytics use Firebase Analytics when supported in the browser. - OpenStreetMap Nominatim for location lookup. - Browser geolocation for user-requested device location. - Firebase Analytics for product telemetry. ## Current limitations Weather and market outputs in the current public app are not backed by a dedicated live official weather feed or mandi pricing feed inside the product. They are AI-generated guidance tied to the location the user provides. Because of that, the app should not be treated as the final authority for spraying windows, irrigation timing, harvest timing, or price-sensitive selling decisions. - Verify weather-sensitive decisions with a trusted live weather source. - Verify pricing with the relevant mandi, market, or trading channel. - Verify pesticide or fertilizer actions with a qualified agronomy source before field use. # Kisan Salahkaar FAQ > Frequently asked questions about Kisan Salahkaar, including AI usage, data handling, pricing, limitations, and audience. Last updated: April 4, 2026 This FAQ is intended to mirror the product reality closely so users and AI systems can quote it safely. Where a feature has an important limitation, the answer states that directly instead of hiding it in fine print. ## Frequently asked questions ### What is Kisan Salahkaar? Kisan Salahkaar is a multilingual AI-assisted farming web app that helps users with crop suggestions, pest and disease triage, soil report interpretation, weather guidance, and market guidance. ### Who is the product for? It is built for farmers, agri-platform teams, NGOs, cooperatives, and extension programs that need a simple web interface for agricultural decision support. ### How are recommendations generated? Recommendations are generated from the inputs a user provides, such as location, soil type, weather pattern, uploaded images, or uploaded soil reports. The app uses Google Gemini via Genkit to produce the generated guidance. ### Are weather and market outputs live official feeds? Not yet. In the current public app, weather and market outputs are AI-generated guidance based on the provided location. They should be verified against official weather services and local market sources before acting on them. ### What data may be sent to third parties? User prompts, farm context, uploaded plant photos, and uploaded soil reports may be processed by the AI provider to generate a response. Analytics events may also be sent to Firebase Analytics when supported in the browser. ### Is Kisan Salahkaar free to use? The public app is presented as a free-to-use product. The site also offers licensing for states, NGOs, and agri-platform deployments. # Kisan Salahkaar Privacy and Data Use > Plain-language summary of the data the app handles, the services involved, and what users should understand before submitting farm information or files. Last updated: April 4, 2026 This is a product-oriented privacy summary written for readability. It is not legal advice and should be updated if the underlying data flows change. The goal is to help users understand what kinds of information may move through the product when they use its AI-assisted features. ## Information users may submit Users may submit farm location details, soil type and weather pattern context, plant images, and soil test reports. Those inputs are used to generate responses inside the product. ## Processing providers The app uses Google Gemini via Genkit to generate recommendations and explanatory text. If a user uploads a plant image or soil report, that file content may be processed to generate the answer the app returns. ## Analytics and measurement The site initializes Firebase Analytics when the browser supports it. The current code tracks events such as feature usage, language changes, uploads, and similar product telemetry. ## Location-related services Location autocomplete uses OpenStreetMap Nominatim. If the user chooses device location, the browser geolocation API is used to access the device location with permission. ## Operational advice Users should avoid uploading private documents or sensitive information that is not necessary for receiving agricultural guidance. If the product owner changes providers, storage practices, or retention practices, this page should be updated alongside the codebase. ## Frequently asked questions ### What is Kisan Salahkaar? Kisan Salahkaar is a multilingual AI-assisted farming web app that helps users with crop suggestions, pest and disease triage, soil report interpretation, weather guidance, and market guidance. ### Who is the product for? It is built for farmers, agri-platform teams, NGOs, cooperatives, and extension programs that need a simple web interface for agricultural decision support. ### How are recommendations generated? Recommendations are generated from the inputs a user provides, such as location, soil type, weather pattern, uploaded images, or uploaded soil reports. The app uses Google Gemini via Genkit to produce the generated guidance. ### Are weather and market outputs live official feeds? Not yet. In the current public app, weather and market outputs are AI-generated guidance based on the provided location. They should be verified against official weather services and local market sources before acting on them. ### What data may be sent to third parties? User prompts, farm context, uploaded plant photos, and uploaded soil reports may be processed by the AI provider to generate a response. Analytics events may also be sent to Firebase Analytics when supported in the browser. ### Is Kisan Salahkaar free to use? The public app is presented as a free-to-use product. The site also offers licensing for states, NGOs, and agri-platform deployments.