About Aptinova

Our journey to revolutionize the hiring process with AI-powered solutions.

Meet Our Team

A

Ayon Sarkar

Lead Developer

System Design, Frontend, Database, Backend

T

Tanishk Yadav

AI Head

Implementation, Research

S

Sanjana Maini

Project Manager

Documentation, Management, Backend

The Project

Capstone Project

AI-Powered Recruitment Platform

Aptinova is a comprehensive AI-powered recruitment platform designed to streamline and revolutionize the hiring process. This platform was developed as a capstone project for our B.Tech CSE degree (2021-2025 batch) at SRM University AP under the guidance of Prof. Ajay Bhardwaj.

Project Highlights

Advanced AI algorithms for candidate-job matching
Bias-free evaluation and scoring system
End-to-end recruitment workflow automation
Interactive dashboards with real-time analytics
Responsive design with cross-platform compatibility

SRM

SRM University AP

Department of Computer Science and Engineering

B.Tech CSE 2021-2025 Batch

AB

Prof. Ajay Bhardwaj

Project Guide

ajay.bhardwaj@srmap.edu.in

"Our vision for Aptinova was to create a platform that not only simplifies the recruitment process but also ensures fairness and efficiency through advanced AI algorithms."

View Project on GitHub Download Project Report

Technology Stack

Aptinova employs a modern technology stack, carefully selected to deliver a robust, scalable, and user-friendly recruitment platform. Our architecture uses the latest frameworks and tools to ensure optimal performance and maintainability.

40+

Technologies

4

Major Categories

6+

External Services

3

Authentication Methods

Frontend

Next.js (v15+)

Frontend framework for React with SSR, routing

React (v19+)

UI Library for component-based development

Tailwind CSS

Utility-first CSS framework

Zustand

State management library

Framer Motion

Animation library for React

Recharts

Data visualization library

Monaco Editor

Code editor for assessments

@hello-pangea/dnd

Drag and drop functionality

face-api.js

Face detection for proctoring

@tensorflow/tfjs

Machine learning for browser-based applications

Backend

Node.js (v18)

JavaScript runtime environment

Express.js

Web application framework

PostgreSQL

Relational database management system

Sequelize

ORM for database operations

Passport.js

Authentication middleware

JSON Web Token

Secure token-based authentication

bcrypt

Password hashing

Nodemailer

Email functionality

Google Gemini API

AI-powered functionality

Google Calendar API

Calendar integration

External Services

Cloudinary

Cloud-based media management

Razorpay SDK

Payment processing

Vercel

Deployment platform

Google OAuth

Authentication service

Microsoft OAuth

Authentication service

LinkedIn OAuth

Authentication service

Development Tools

Git

Version control

npm

Package manager

VS Code

Code editor

ESLint

Code linting

Prettier

Code formatting

Nodemon

Development process manager

Technology Stack Summary

Category	Technology/Service	Purpose
Frontend	React (Next.js)	UI Framework, SSR, Routing
	Tailwind CSS	Utility-First CSS Styling
	Material You (via CSS vars)	Dynamic Theming
	Zustand	Client-side State Management
	face-api.js / TensorFlow.js	Client-side Face Detection (Proctoring)
Backend	Node.js	Server-side JavaScript Runtime
	Express.js	Web Application Framework
	Sequelize	ORM for Database Interaction
	JWT	Session Management
Database	PostgreSQL	Relational Database Management System
External Services	Google Gemini AI	Resume Parsing, Job Analysis, Grading
	Cloudinary	Cloud-based File Storage
	Razorpay	Payment Gateway