AI & Machine Learning Project
Intellecta: Automated Resume ATS Screener & Matcher
Python
Flask
SpaCy NLP
SQLite
Project Overview
An intelligent resume parsing system utilizing Natural Language Processing (NLP) and cosine similarity metrics to screen CVs against job descriptions and display ATS scores.
Deliverables & Support Checklist
- Complete Source Code: Clean, well-commented code, database schemas, and setup configurations (Github/Zip format).
- Remote Setup Support: Complete environment installation and compiler/server startup runs done via AnyDesk or TeamViewer by a senior developer.
- Project Report & PPT template: Synced system flowcharts, UML diagrams, hardware/software specs, and presentation slides.
- Viva Voce Assistance: 1-on-1 code walkthrough explanation calls to prepare you for department evaluations and external examiners.
- Post-Submission Modifications: Lifetime bug-fixing support and code tweaks requested by project coordinators.
Viva-Voce Q&A Highlights
Q1: What is the primary architecture of this system?
A: It is structured as a standalone full-stack microservices simulation. It splits rendering blocks (HTML, modular JavaScript components) from backend logic handling algorithms, keeping standard RESTful conventions.
Q2: How is security handled inside this model?
A: Code modules execute standard local authentication. Security structures utilize cryptographic hashing (such as SHA-256 block hash references) and local password salts where required.
Buy Complete Project
₹7,499
Message on WhatsApp
No payment required now. Our developer will show you the running code live on Google Meet/AnyDesk. Pay only if satisfied!
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