Azmain, Md. AquibEam, Salab Ibne AwalMatree, Noara RashidHasan, S.M TasirulRafi, Abid Rehman2026-08-222026-08-2220262026-01ID 20301210ID 20301233ID 20301150ID 23341063https://hdl.handle.net/10361/29412This project report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2026.Cataloged from PDF version of project report.Includes bibliographical references (pages 48-49).Agriculture is the main source of livelihood in Bangladesh but many farmers still face serious problems such as limited access to market information, accurate weather forecast, crop health support and proper financial management tools. These challenges often reduce farm productivity and income. To address these issues, this project presents a web base all in one smart farming solution that uses modern digital technology to support farmers in their daily activities. The system provides a user friendly dashboard where farmers can easily view region based weather updates, crop health status, market prices, buyer demand, Inventory records and financial summaries on a single platform. Real time market information helps farmers make better decisions about when and where to sell their crops. The system also analyzes soil data, weather conditions and crop types to suggest proper use of fertilizers and pesticides. Farmers can upload crop images to detect diseases using AI based image analysis and receive instant guidance. Additionally, the platform includes inventory and financial management features to track resources, income, expenses and profit. Overall, this smart farming solution helps farmers reduce costs, improve productivity, increase market access and support data driven decision making, contributing to sustainable agricultural development in Bangladesh.60 pagesen-USAttribution-NonCommercial-NoDerivatives 4.0 InternationalBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.http://creativecommons.org/licenses/by-nc-nd/4.0/Smart farmingArtificial intelligenceMarket information systemDisease detectionCrop diseasesWeather forecastingMachine learningInventory managementFinance managementPlants--Disease and pest resistance.Artificial intelligence--Agricultural applications.Plant diseases--Diagnosis.Agricultural innovations.Project Report