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Cultivating Profits: Smart Agriculture Finance Tracking Platform

Cultivating Profits: Smart Agriculture Finance Tracking Platform

The agricultural sector in Pakistan faces significant challenges due to inconsistent planning, lack of data-driven decision-making, and limited access to expert guidance for farmers. This project, titled Cultivating Profits, introduces an AI-powered web-based platform designed to enhance farm profitability through intelligent automation and user-centric features. At its core is a Large Language Model (LLM)-powered chatbot, Chacha Ameer, which provides real-time assistance to farmers in natural language, answering queries related to crop management, expenses, and subsidies.

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The system features a responsive and interactive frontend, a robust Laravel-based backend, and a structured relational database for secure and efficient data handling. Notable modules include Smart Spend, which provides AI-driven recommendations by analyzing historical expense trends against current input costs, and Kisaan Connect, a real-time messaging feature that enables communication between registered farmers using WebSockets. The platform supports multilingual interfaces, voice-to-text, and text-to-speech features to enhance accessibility. Key development challenges such as limited agricultural data, computational limitations, and regional language support were addressed using synthetic data generation, cloud-based model hosting, and localized UX design. The system was evaluated through controlled simulations and qualitative surveys, demonstrating its potential to digitally empower local farmers and promote informed, data-driven agricultural practices in Pakistan.

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Faculty

Students

  • Hina Naeem
  • Abdullah Riaz
  • Mujtaba Shafqat

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