Great! Since you want to make your Agriculture Assistant Project dynamic, not static, and fetch all stage-wise data using the Gemini API, I’ll now give you a fully enhanced project structure and master prompt integrated with:
✅ Dynamic AI API Integration (via Gemini API) ✅ Modular, real-time crop advisory per farmer input ✅ API-based prompt template that sends user inputs to Gemini and parses responses ✅ All 12 smart features built-in with clear architecture
🌿💻 Project Name: KrishiGPT – Smart Dynamic Agriculture Assistant 🔧 Tech Stack Component Tech Frontend HTML + JS (or React/Vue) Backend Python Flask / Node.js LLM API Gemini API (preferred) API Key AIzaSyB2hcx9W680IBHmu1RP9tgwWCYf6zxUGLA Data Flow Dynamic via LLM (Gemini)
🧠 Master Prompt (Dynamic - Gemini API Ready) This prompt will be sent to Gemini API dynamically on each user input.
🔻 Send this full prompt as prompt key in your Gemini API call: text Copy Edit You are an expert agriculture assistant helping Indian farmers grow crops successfully.
The farmer has provided the following information:
Please generate complete, practical and localized guidance based on Indian conditions and agronomic standards. Your response should be structured into the following 12 sections, updated dynamically per user input:
🔶 1. Crop Cultivation Calendar & Timeline
🔷 2. Current Progress Tracker
🔶 3. Crop Suitability Analysis
🔷 4. Government Schemes & Subsidies
🔶 5. Crop Lifecycle Images
🔷 6. Disease & Pest Alerts
🔶 7. Best Practices per Stage
🟢 8. Weather & Irrigation Advisory
🟣 9. Daily Farming To-Do List & Reminders
🔴 10. Market Rate & Selling Suggestions
🟠 11. Farmer Forum & Krishi Help Centers
🔵 12. Cost Estimator & Profit Calculator
i want each and every component for every functionality
I'll create a comprehensive Next.js application that integrates with the Gemini API to provide dynamic agricultural guidance based on farmer inputs. The application will include all 12 components you specified, with a clean, user-friendly interface.
The code returns the following error:
formatDate is not defined
at getMockData (/lib/actions)
at getCropAdvisory (/lib/actions)
at async CropAdvisory (/components/crop-advisory)
Revise the code to address the error.
I was previewing: /
I'll fix the error by adding the missing formatDate
function and other helper functions that are referenced in the getMockData
function.
I've fixed the error by adding the missing helper functions to the lib/actions.ts
file:
formatDate
function that was missing but being used in the codeAdded helper functions for determining crop stages and progress:
getCurrentStage
- Determines the current growth stage based on days since plantinggetNextMilestone
- Gets the next upcoming stagegetDaysToNextMilestone
- Calculates days until the next stagegetCompletedStages
- Lists all completed stagesgetUpcomingStages
- Lists all upcoming stagesgenerateWeatherForecast
function to create mock weather datagetMockData
functionThese changes will ensure the application can generate mock data properly when the Gemini API call fails or during development. The application should now work correctly, displaying all 12 components of the agriculture assistant with appropriate data.
The code returns the following error:
Error calling Gemini API: [GoogleGenerativeAI Error]: Error fetching from https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent: [404 ] models/gemini-pro is not found for API version v1beta, or is not supported for generateContent. Call ListModels to see the list of available models and their supported methods.
at getCropAdvisory (/lib/actions)
at async CropAdvisory (/components/crop-advisory)
Revise the code to address the error.
I was previewing: /