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Case Study & System Spec

Nevio

An AI-powered CSE career and specialization advisor.

System Overview

Nevio is an AI-powered career guidance platform designed for Computer Science students choosing career paths and academic specializations. It analyzes a student’s interests, skills, goals, and preferences to provide personalized career and specialization recommendations.

Target UsersCSE Students
ArchitectureNext.js + FastAPI + Supabase
DeploymentVercel + Cloud Run

The Problem

CSE students often have to choose specializations and career directions without a clear understanding of how their interests and existing skills align with different technology domains. Generic career advice does not account for an individual’s profile.

The Solution

Nevio creates a personalized recommendation experience by combining structured student information with AI-driven reasoning. The platform helps students understand suitable career paths, specializations, and the reasoning behind those recommendations.

System Architecture

Nevio uses a Next.js frontend to provide the interactive student experience and communicates with a FastAPI backend through API endpoints. The backend processes student profiles and recommendation logic while Supabase PostgreSQL stores application data. The frontend is deployed on Vercel and the backend is hosted separately, creating a modular frontend/backend architecture suitable for scaling AI services.

Key Implementations

  • Personalized CSE specialization recommendations
  • Career-path guidance based on individual student profiles
  • AI-assisted recommendation and reasoning
  • Structured student preference and skill analysis
  • Modern responsive web interface
  • Separated frontend, API, and database architecture

Tech Stack

Next.jsTypeScriptFastAPIPythonSupabase PostgreSQLLlamaVercelCloud Run