Serverless Document Management System with Automated Classification and Storage

PinsoutCloud Computing
LocationRemote
#HiringActivily
#TopOpportunity

Project Objectives:

The objective of this project is to design a serverless document management system that automatically classifies, stores, and retrieves documents using cloud functions, event triggers, and managed storage services while ensuring scalability, security, and cost efficiency.

Project Tasks:

Study traditional document management systems Analyze limitations of server-based document storage Design serverless architecture for document handling Configure cloud storage for document uploads Implement event triggers for file upload actions Develop cloud functions for document classification Store metadata in managed cloud database Implement secure document access control Enable document search and retrieval functionality Monitor function execution and storage usage Test system with large document uploads Evaluate performance and scalability Compare cost with traditional systems Document architecture, implementation, and results

Educational Qualifications

B.TechB.EBCAMCA

Required Skills

Serverless Architecture (Aws Lambda, Azure Functions, Google Cloud Functions)Cloud Storage & Database Management (S3, Firestore, Dynamodb, Rds)Event-Driven Automation & Triggers (Sns, Sqs, Cloud Pub/Sub)Document Classification & Automation (Ml For Text Classification, Ocr Integration)Api Security, Access Control, And System Monitoring