Agriculture aur horticulture ke prices ko predict karna kisanon aur traders ke liye bahut faydemand ho sakta hai. AI aur ML models ke zariye, hum accurate predictions de sakte hain, jo unhe behtar decisions lene mein madad karega. Yahaan kuch ideas haiApproachData Collection & Preprocessing:Historical Price Data: Kisan mandis, government websites, aur online platforms se pichle kuch saalon ka price data ikattha karein.Weather Data: Mausam ka data (temperature, rainfall, humidity) lein, kyunki yeh crops ke prices par bahut asar dalta hai.Soil & Crop Data: Fasal ki productivity, soil health aur fertilizer usage ka data bhi collect karein.Model Development:AI/ML Models: Regression models jaise Linear Regression, Random Forest, aur Neural Networks ka use karke future prices predict karein.Time Series Analysis: ARIMA, LSTM jaise models ka use karke price trends aur seasonality ko predict karein.Feature Engineering: Crop type, season, regional factors jaise features create karke model ki accuracy ko improve karein.Web Development:User Interface: Ek simple aur user-friendly web interface design karein jahan farmers aur traders apna data input kar ke future prices dekh sakein.Real-Time Updates: Ek server set up karein jo real-time data ko fetch kar sake aur predictions ko update kar sake.Visualization: Graphs aur charts ka use karke price trends aur predictions ko visualize karein, taaki users ko data samajhne mein aasani ho.Prediction Alerts:SMS/Email Notifications: Kisanon ko price predictions ke baare mein notify karne ke liye SMS ya email alerts ka system develop karein.Mobile App Integration: Ek mobile app develop karein jo web platform ke sath sync hoti rahe aur on-the-go predictions provide kare.Benefits