Profile Setup

Overview

Your profile stores essential information that powers personalized interview questions, tracks your progress, and helps match you with relevant opportunities. Based on the User model, your profile includes basic information, professional experience, skills, and your resume.

User Profile Fields

Your profile consists of the following fields from the User model:

Field	Type	Required	Description
`username`	String (80)	Yes	Unique identifier, 3-20 chars
`email`	String (120)	Yes	Unique email address
`full_name`	String (100)	No	Your display name
`phone`	String (20)	No	Contact phone number
`experience_years`	Integer	No	Years of professional experience (default: 0)
`skills`	JSON Array	No	List of technical skills
`resume_filename`	String (255)	No	Stored resume file reference

Completing Your Profile

Access profile settings

Navigate to your profile page after logging in. You can view your current profile information:

GET /api/profile
Authorization: Bearer <your-token>

Response:

{
  "user": {
    "id": 1,
    "username": "john_doe",
    "email": "[email protected]",
    "full_name": "John Doe",
    "phone": null,
    "experience_years": 0,
    "skills": [],
    "resume_filename": null,
    "created_at": "2026-03-03T10:30:00"
  }
}

Update profile information

Fill in your professional details:Full Name

Your preferred display name
Used in reports and certificates

Phone Number

Optional contact information
Format: Up to 20 characters

Years of Experience

Integer value representing your professional experience
Used to calibrate interview difficulty
Default is 0 for entry-level

Skills

Add your technical skills as a JSON array
Skills can be auto-extracted from your resume
Manually add or modify as needed

POST /api/update_profile
Authorization: Bearer <your-token>
{
  "full_name": "John Doe",
  "phone": "+1-555-0123",
  "experience_years": 3,
  "skills": ["Python", "JavaScript", "React", "Node.js", "SQL"]
}

Save changes

Your profile updates are saved immediately to the database. The system responds with:

{
  "success": true,
  "message": "Profile updated successfully"
}

Uploading Resume

Your resume is critical for personalized interview preparation. The system analyzes your resume to:

Extract technical skills automatically
Generate relevant interview questions
Match your experience with job descriptions
Create personalized feedback

Prepare your resume

Ensure your resume meets these requirements:Supported Formats:

PDF (.pdf)
Microsoft Word (.docx)

Content Requirements:

Professional experience
Technical skills section
Projects and achievements
Education background

Upload with job description

A Job Description is required when uploading your resume. This ensures the platform can analyze your fit and generate relevant questions.

Upload your resume along with the target job description:

POST /api/upload_resume
Authorization: Bearer <your-token>
Content-Type: multipart/form-data

resume: <file>
job_description: "<job description text>"

The system will:

Extract text from your resume
Parse skills, experience, projects, and certifications
Analyze fit with the job description
Process content for RAG-based question generation
Store embeddings for semantic search

Review analysis results

After successful upload, you’ll receive detailed analysis:

{
  "success": true,
  "message": "Resume uploaded and analyzed successfully",
  "data": {
    "skills": ["Python", "Machine Learning", "TensorFlow"],
    "experience_years": 3,
    "projects": ["Built recommendation engine..."],
    "certifications": ["AWS Certified Developer"],
    "job_fit_analysis": {
      "keyword_score": 0.75,
      "semantic_score": 0.82,
      "matching_skills": ["Python", "SQL"],
      "missing_skills": ["Kubernetes", "Docker"],
      "experience_fit": "Good fit"
    },
    "chunks_processed": 15,
    "rag_ready": true,
    "jd_embedding_stored": true
  }
}

Auto-populated fields

The system automatically updates your profile:

skills: Extracted from resume
experience_years: Calculated from work history
resume_filename: Stored as {user_id}_{original_filename}

You can manually edit these fields if needed using the update profile endpoint.

Resume Processing Details

Text Extraction

The platform extracts text using the parse_resume_text() function from app.py:643, which identifies:

Skills: Technical keywords and technologies
Experience: Years of professional work
Projects: Project descriptions and achievements
Internships: Internship experience
Certifications: Professional certifications

Job Fit Analysis

The analyze_resume_job_fit() function performs: Keyword Matching:

Extracts skills from resume and job description
Calculates percentage of matching skills
Identifies missing skills you should develop

Semantic Similarity:

Uses SentenceTransformer model (all-MiniLM-L6-v2)
Embeds resume content and job description
Computes cosine similarity score (0-1)

Experience Assessment:

Compares your years of experience with requirements
Provides fit recommendation

FAISS Processing

Your resume is processed with process_resume_for_faiss() to enable:

Resume-based questions: Generate interview questions from your specific experience
Contextual evaluation: Compare your answers against your resume
Semantic search: Find relevant resume sections during interviews

The job description embedding is stored separately for generating role-specific questions.

Setting Preferences

While the User model doesn’t include explicit preference fields, your profile data influences: Interview Difficulty:

Based on experience_years
Entry-level (0-2 years): Easier questions
Mid-level (3-5 years): Moderate difficulty
Senior (6+ years): Advanced concepts

Question Relevance:

Skills array determines technical topics
Resume content shapes behavioral questions
Job description guides role-specific scenarios

Progress Tracking:

UserMastery records are created per topic
Performance metrics adapt to your level
Weak areas trigger targeted practice

Profile Data Security

Your data is protected:

Passwords are hashed using Werkzeug’s generate_password_hash
Resume files are stored with user ID prefix to prevent conflicts
All API endpoints require JWT authentication
Email addresses are validated and must be unique

Next Steps

Once your profile is complete:

Start Interviews

Begin mock, technical, or coding interview sessions

Track Performance

Monitor your mastery levels and progress

Mock Interviews

Generate questions based on your resume

Resume Analysis

Find skill gaps between your resume and job requirements

Overview

Getting Started

Core Features

User Guide

Overview

User Profile Fields

Completing Your Profile

Uploading Resume

Resume Processing Details

Text Extraction

Job Fit Analysis

FAISS Processing

Setting Preferences

Profile Data Security

Next Steps

Start Interviews

Track Performance

Mock Interviews

Resume Analysis

Build docs developers (and LLMs) love

Overview

Getting Started

Core Features

User Guide

​Overview

​User Profile Fields

​Completing Your Profile

​Uploading Resume

​Resume Processing Details

​Text Extraction

​Job Fit Analysis

​FAISS Processing

​Setting Preferences

​Profile Data Security

​Next Steps

Start Interviews

Track Performance

Mock Interviews

Resume Analysis

Build docs developers (and LLMs) love

Overview

User Profile Fields

Completing Your Profile

Uploading Resume

Resume Processing Details

Text Extraction

Job Fit Analysis

FAISS Processing

Setting Preferences

Profile Data Security

Next Steps