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NextHire is an intelligent, end-to-end career preparation platform that leverages AI/ML to help job seekers optimize their resumes, practice for interviews, and ace technical assessments. The platform combines advanced NLP techniques with Google's Gemini AI to provide personalized feedback and recommendations.
🎯 Problem Statement
Job seekers often struggle with:
Understanding what ATS (Applicant Tracking Systems) look for
Identifying skill gaps between their resume and job requirements
Preparing effectively for technical interviews
Building ATS-friendly resumes
💡 Solution
NextHire addresses these challenges through:
Hybrid ATS Analysis: Combines BERT embeddings with fuzzy matching for accurate skill extraction
AI Mock Interviews: Gemini-powered interviews with real-time feedback
Smart Mock Tests: Auto-generated assessments based on job descriptions
Resume Builder: Multiple ATS-friendly templates with PDF export
✨ Features
Feature
Description
📊 ATS Resume Analyzer
Hybrid scoring using BERT semantic similarity + fuzzy matching
🎤 AI Mock Interview
Voice-enabled interviews with Gemini AI analysis
📝 Mock Assessments
JD-based MCQ tests with detailed explanations
📄 Resume Builder
4 ATS-friendly templates with photo support & PDF export
sequenceDiagram
participant U as User
participant F as Frontend
participant B as Backend
participant A as ATS Service
participant DB as MongoDB
U->>F: Upload Resume + JD
F->>B: POST /api/analyze
B->>A: Forward files to Flask
A->>A: Extract text (PyMuPDF)
A->>A: spaCy NER + PhraseMatcher
A->>A: BERT Semantic Matching
A->>A: Fuzzy String Matching
A->>A: Calculate Hybrid Score
A-->>B: Return Analysis JSON
B->>DB: Save Analysis Record
B-->>F: Return Results
F-->>U: Display Score & Feedback
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Mock Interview Flow
sequenceDiagram
participant U as User
participant F as Frontend
participant B as Backend
participant G as Gemini AI
participant DB as MongoDB
U->>F: Select JD & Start Interview
F->>B: POST /api/mockinterview/create
B->>DB: Fetch JD Details
B->>G: Generate Questions (Gemini 2.5)
G-->>B: Return 8 Questions
B->>DB: Save Interview Session
B-->>F: Return Questions
loop For Each Question
F->>U: Display Question (TTS)
U->>F: Voice Response (Web Speech API)
F->>B: POST /submit-response
B->>DB: Save Transcript
end
F->>B: POST /complete
B->>G: Analyze All Responses
G-->>B: Return Detailed Feedback
B->>DB: Save Analysis
B-->>F: Return Results
F-->>U: Display Feedback & Score
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Mock Test Flow
sequenceDiagram
participant U as User
participant F as Frontend
participant B as Backend
participant G as Gemini AI
participant DB as MongoDB
U->>F: Select JD + Question Count
F->>B: POST /api/mocktest/create
B->>DB: Fetch JD & Skills
B->>G: Generate MCQs (Gemini 2.5)
G-->>B: Return Questions + Options
B->>DB: Save Test Session
B-->>F: Return Exam Data
U->>F: Answer Questions
F->>B: POST /api/mocktest/submit
B->>G: Evaluate Answers
G-->>B: Return Scores & Explanations
B->>DB: Save Attempt
B-->>F: Return Results
F-->>U: Display Score & Feedback
