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This project is a sub-project of AgCloud
Air
Mentored by: Vast Data
Air - Cloud-based platform for agricultural data management and analytics
React
Node.js
PostgreSQL
AWS
Docker
Kubernetes
Microservices
Description
Air sub-project of AgCloud. A comprehensive cloud platform for managing agricultural operations, data, and analytics. Provides centralized storage, processing, and visualization of farm data including crop monitoring, weather integration, equipment management, and predictive analytics. Features include multi-tenant architecture, real-time dashboards, and API integrations.
Team Members
Cohort: Data Science Bootcamp 2025 (Data)
Responsibilities:
Developed ML/DL models for anomaly and object detection in aerial imagery, including data preprocessing, model evaluation, and real-time inference integration.
Implemented automated detection flows supporting reliable alerting and downstream processing.
Built event-driven microservices in Apache Flink, enabling real-time data streaming, metadata matching, and high-throughput processing across distributed system components.
Built event-driven microservices in Apache Flink, enabling real-time data streaming, metadata matching, and high-throughput processing across distributed system components.
Designed and implemented FastAPI-based backend services in Python, supporting clean APIs, structured data flows, and scalable processing logic.
Designed and deployed a PostgreSQL database with PostGIS extensions for geospatial data management, including optimized schemas for aerial image metadata and spatial operations.
Packaged and deployed a fully containerized multi-service environment using Docker, enabling reproducible builds, modular development, and streamlined local/remote deployment workflows.
...and more contributions not listed here