The problem Kisan.ai solves

Our project offers a comprehensive solution to modernize farm management, enhancing efficiency, profitability, and sustainability. It integrates various technologies to address key areas in agriculture, making tasks easier and safer for farmers. Here's how it revolutionizes farming:

1. Inventory Management: Simplifies tracking of seeds, tools, and produce, ensuring real-time visibility and preventing wastage through overstocking or understocking.
2. Expiration Tracking(OpenCV): Automatically monitors inventory and out of stock detection using opencv and sends real time updates in regional language eg: banana is out of stock please refill.
3. Real-Time Updates and Alerts: Utilizes SMS and WhatsApp for instant stock level notifications, enabling quick replenishment to avoid stockouts.
4. Resource Estimation with AI: Employs AI for precise resource allocation based on soil type, season, and crop needs, optimizing crop growth conditions and reducing unnecessary expenses.
5. Market Price Insights and Market Place: Provides current market prices and trader contacts, empowering farmers to make informed selling decisions at optimal prices.
6. Profit and Utilization Analysis: Analyzes sales data to highlight profitable crops and resource utilization, guiding future strategies for increased profitability.
7. Weather Forecasting: Offers tailored weather forecasts, including temperature and rainfall predictions, allowing for better agricultural planning and risk mitigation.
8. Automated Tool Crafting: Simplifies tool creation from available resources, saving time and reducing the need for external purchases.
9. Augmented Reality (AR) Inventory Visualization: Enhances inventory management through AR for a 3D visualization, making it easier to manage and organize.
10. Interactive Data Queries: Allows for quick, conversational access to specific inventory information, eliminating manual search efforts.

Challenges I ran into

1. Obtaining real-time market prices from government websites.
2. Forecasting in-depth weather predictions using APIs.
3. Implementing out-of-stock detection using OpenCV to achieve precise recognition of inventory.