Devory

AI EdTech SaaS

Devory

AI-Powered Student Project Platform

Editorial Case Review

Devory is an AI-powered project mentoring application designed to assist computer science students in building portfolio-grade systems. By analyzing user interests, technical skills, and available hours, Devory leverages OpenAI API models to generate structured project roadmaps, suggest coding resources, and monitor development sprints.

Core Capabilities

AI-based project

AI-based project idea recommendations

Structured project

Structured project workflow management

Progress tracking

Progress tracking and portfolio-ready output

Engineering Case Study

The Challenge

Limiting excessive OpenAI usage costs and structuring LLM natural language prompts into reliable, syntax-compliant database roadmaps.

The Solution

Configured structured JSON validation using OpenAI Function Calling and wrapped all prompt generation patterns with server-side caching and dynamic client rate-limiters.

Development Journey & Milestones

Phase 01

Architecture & System Design

Structured the schema for Devory, defining state management patterns and API route handlers.

Phase 02

Full-Stack Implementation

Engineered core features using Next.js, TypeScript, PostgreSQL with component modularity.

Phase 03

Performance & Optimization

Applied server-side rendering, debounced event flows, and asset compression for top Lighthouse scores.

Phase 04

Deployment & CI/CD Telemetry

Deployed live production build with continuous integration and automated telemetry tracking.

Key Specifications

Your RoleFull-Stack & AI Integration Engineer

Timeline5 Weeks (November 2025)

CategoryAI EdTech SaaS

Built With

Next.jsTypeScriptPostgreSQLPrismaTailwind CSSOpenAI API

Product Performance

85%

<2.2sRoadmap generation latency

100%

99.8%Structured parse rate

100%

+140%User project engagement

Local Setup Commands

bash — setup

git clone https://github.com/Rameshwar-bhagwat10/Devory.git
cd devory
npm install
npm run dev

Interface Gallery