I am a Jr. Software Engineer(Backend) in Affpilot AI having nearly 1 years of experience. I have been building and maintaining backend services in Go and Python and have assisted in moving AI content-generation service to a microservices-based system. I have also used RabbitMQ to coordinate tasks, created integrations with other platforms such as WordPress and Shopify, automated email system. I have a competitive programming background, and have solved more than 1,200 problems and attended several onsite competitions, such as ICPC Asia Dhaka Regionals2023 (97th out of 223 teams).
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Why This Project Matters
The Problem
Farmers face critical decisions daily:
What crop should I plant? (Wrong choice = entire season lost)
What fertilizer do I need? (Wrong amount = money wasted or crops damaged)
Will weather harm my crops? (Late warning = no time to protect)
The Solution
An intelligent system that:
Recommends optimal crops based on soil conditions (99.32% accuracy)
Suggests precise fertilizer types based on soil and crop data
Monitors weather 24/7 and sends automated alerts before dangerous conditions
Scales to handle thousands of farms with minimal latency
Real-World Impact
Time Saved: Automated daily weather checks for all farms
Cost Reduction: Precise fertilizer recommendations prevent waste
Risk Mitigation: Early weather warnings protect crops
Data-Driven: ML models trained on 2,200+ agricultural data points.
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