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Capstone Project (ML Integrated)

TelcoSense

Sep 2025 - Dec 2025
ReactHapi.jsPython (FastAPI)MongoDB
Key Features
  • Project Manager & Backend Lead
  • Hapi.js Core Architecture
  • Python/FastAPI ML Microservice

Overview

As the Project Manager and Backend Lead for this Capstone Project, I orchestrated a team of 5 to build an intelligent recommendation engine for Telecommunication providers.

Architecture

We used a microservices approach:

  • Core Backend (Hapi.js): Handled user authentication, business logic, and transaction history.
  • ML Service (FastAPI): A Python service hosting the Scikit-Learn model that predicts user preferences based on usage data.
  • Frontend (React): A dashboard for users to view personalized packages.