METHMAL.

// CASE STUDY SHOWCASE

AI Career Path Recommendation System

An AI-powered web application that recommends career paths using machine learning deployed through a Flask microservice.

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01 / CASE STUDY DETAILS
ROLEFull-Stack Developer & ML Engineer
CLIENTPersonal Project
YEAR2025
Next.jsExpress.jsFlaskMongoDBMachine Learning
Project Showcase 1
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// OVERVIEW & ENGINEERING STORY

High-Impact Architecture & Execution.

An AI-powered web application that recommends career paths using machine learning deployed through a Flask microservice.

Built an AI-powered web application that recommends personalized career paths to students based on academic performance, skills, and interests. The machine learning model is deployed through a Flask microservice, ensuring scalable and real-time predictions.

Implemented secure user authentication and user-based data tracking for personalized recommendations. Built with Next.js, Express.js, Flask, and MongoDB for a modern, responsive, and fast user experience across all devices.