https://github.com/akunna1/np-job-application

Neptune Technologies (NP) full stack job application form front end and back end files
https://github.com/akunna1/np-job-application

backend bootstrap cloud-services express frontend full-stack-development google-cloud-storage html javascript mobile-responsive nodejs tailwindcss

Last synced: about 9 hours ago
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Neptune Technologies (NP) full stack job application form front end and back end files

• Host: GitHub
• URL: https://github.com/akunna1/np-job-application
• Owner: akunna1
• Created: 2024-02-10T21:48:08.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-07-16T19:57:07.000Z (3 months ago)
• Last Synced: 2025-10-10T08:06:21.244Z (about 9 hours ago)
• Topics: backend, bootstrap, cloud-services, express, frontend, full-stack-development, google-cloud-storage, html, javascript, mobile-responsive, nodejs, tailwindcss
• Language: HTML
• Homepage: https://akunnatechstudio.com/web
• Size: 1.13 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 🚀 Neptune Technologies Application Platform

A full-stack job application system for a mock company, **Neptune Technologies**, designed to analyze software engineer resumes using data mining and automate applicant evaluation through a custom ATS (Applicant Tracking System).

## 🧠 Project Purpose

To streamline the hiring process with an intelligent platform that:

- Evaluates resume content and form responses

- Scores applicant submissions

- Identifies the top 10% of candidates

## 🛠 Built With

- **Frontend:** HTML, Tailwind CSS, JavaScript  

- **Backend:** Node.js, Express.js  

- **Cloud Storage:** Google Cloud Storage  

- **AI / NLP:** Python (nltk)  

- **Version Control:** Git

## ⚙️ How It Works

1. Applicant fills out the form and uploads their **resume** and **cover letter**

2. Submission is stored in a **Google Cloud Storage Bucket**

3. Files are retrieved and evaluated by the **ATS backend**

4. Resume and cover letter are analyzed for content and relevance

5. Applicant receives a **score**

6. Hiring manager either **rejects** or **emails applicant** for interview

## 📁 Key Features

- 📌 **Resume Data Mining:**  

  Extracts top words, word pairs, verbs, adjectives, and more from a resume dataset.

- ✍️ **Cover Letter Generation:**  

  AI-generated letters using:  

  - Sample resume  

  - Top keywords from mined resumes  

  - Job description & preferred qualifications

- ☁️ **Cloud Storage Integration:**  

  Uploads form data and files to Google Cloud Storage

- 🤖 **Automated ATS Scoring System:**  

  Processes form, resume, and cover letter to generate an applicant score

## 🖥️ Project Components

- Resume + Cover Letter Upload  

- Google Cloud Storage Handling  

- NLP Resume Analysis (Python + nltk)  

- Node/Express Backend for Evaluation Logic  

- Tailwind CSS + HTML Frontend Form

## 🔗 Live Demo

Not hosted publicly, but you can view the code and see it run locally.  

Website: [akunnatechstudio.com](https://akunnatechstudio.com)

## 📚 Topics

`nodejs` `express` `tailwindcss` `nlp` `google-cloud-storage`  

`job-application` `resume-evaluation` `ats` `fullstack` `cloud`

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© 2025 Akunna Onyekachi — For educational purposes only.