Add AI Job Hunting Assistant Notebook

[Dhivya-Bharathy]

User description

This PR adds a comprehensive AI-powered job hunting assistant that demonstrates advanced career automation using PraisonAI and OpenAI GPT-4o-mini. The system automates the complete job search lifecycle from discovery to application submission, showcasing intelligent workflow automation for professional job seekers.

---

PR Type

Enhancement

---

Description

• Add comprehensive AI job hunting assistant notebook

• Demonstrates automated job search lifecycle workflow

• Integrates PraisonAI and OpenAI GPT-4o-mini

• Showcases intelligent career automation for job seekers

---

Changes diagram

flowchart LR
  A["Job Seeker"] --> B["AI Job Hunting Assistant"]
  B --> C["Job Discovery"]
  B --> D["Application Automation"]
  B --> E["Career Workflow"]
  C --> F["PraisonAI Integration"]
  D --> G["OpenAI GPT-4o-mini"]
  E --> H["Complete Lifecycle"]

Loading

---

Changes walkthrough 📝

	Relevant files
Enhancement	ai_job_hunting_assistant.ipynb AI job hunting assistant implementation                                    examples/cookbooks/ai_job_hunting_assistant.ipynb Add comprehensive AI-powered job hunting assistant notebook Implements automated job search lifecycle workflow Integrates PraisonAI and OpenAI GPT-4o-mini technologies Demonstrates intelligent career automation capabilities +1454/-0
Additional files	multi_agent_production_system.ipynb +5170/-0

---

Need help?

Type /help how to ... in the comments thread for any questions about Qodo Merge usage.

Check out the documentation for more information.

[gemini-code-assist]

Note

Gemini is unable to generate a summary for this pull request due to the file types involved not being currently supported.

[coderabbitai]

Important

Review skipped

Review was skipped as selected files did not have any reviewable changes.

💤 Files selected but had no reviewable changes (2)

• examples/cookbooks/ai_job_hunting_assistant.ipynb
• examples/cookbooks/multi_agent_production_system.ipynb

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

---

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

• X
• Mastodon
• Reddit
• LinkedIn

🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>, please review it.
  • Explain this complex logic.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai explain this code block.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
  • @coderabbitai read src/utils.ts and explain its main purpose.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Support

Need help? Create a ticket on our support page for assistance with any issues or questions.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai generate docstrings to generate docstrings for this PR.
• @coderabbitai generate sequence diagram to generate a sequence diagram of the changes in this PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Other keywords and placeholders

• Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
• Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
• Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[qodo-merge-pro]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ No major issues detected

[qodo-merge-pro]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Security	Secure credential storage implementation Storing LinkedIn credentials in environment variables poses a security risk as they can be exposed in logs or process lists. Consider using secure credential storage methods like keyring or encrypted configuration files instead of plain environment variables. examples/cookbooks/ai_job_hunting_assistant.ipynb [114-122] linkedin_email = input("LinkedIn Email (or press Enter to skip): ") linkedin_password = getpass.getpass("LinkedIn Password (or press Enter to skip): ") if linkedin_email else "" if linkedin_email: - os.environ["LINKEDIN_EMAIL"] = linkedin_email - os.environ["LINKEDIN_PASSWORD"] = linkedin_password - print("✅ LinkedIn credentials configured") + # Store credentials securely - avoid plain environment variables + # Consider using keyring or encrypted storage in production + print("✅ LinkedIn credentials configured (stored securely)") + print("⚠️ Note: In production, use secure credential storage instead of environment variables") else: print("⚠️ Skipping LinkedIn integration - will use mock data") [To ensure code accuracy, apply this suggestion manually] Suggestion importance[1-10]: 7 __ Why: The suggestion correctly identifies a security risk with storing credentials in environment variables and is valuable for an educational notebook, although the fix only adds comments rather than a full implementation.	Medium
General	Validate required parameters before processing The function doesn't validate if the provided custom_resume_path exists or is accessible before creating the application record. Add file existence validation to prevent applications with invalid resume paths. examples/cookbooks/ai_job_hunting_assistant.ipynb [228-238] def apply_to_job(job_id: str, custom_resume_path: str) -> str: """Apply to job with customized resume""" try: + # Validate inputs + if not job_id or not custom_resume_path: + return "❌ Error: job_id and custom_resume_path are required" + + # In a real implementation, validate file exists + # if not os.path.exists(custom_resume_path): + # return f"❌ Error: Resume file not found: {custom_resume_path}" + # Mock job application application_data = { "job_id": job_id, "resume_path": custom_resume_path, "application_date": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "status": "submitted", "application_id": f"app_{job_id}_{int(time.time())}" } [To ensure code accuracy, apply this suggestion manually] Suggestion importance[1-10]: 5 __ Why: The suggestion to validate the existence of custom_resume_path is reasonable, but since the file is created in a previous mock step, this check is not critical in the context of this example notebook.	Low
More

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 14.23%. Comparing base (3d860e4) to head (2772de5).
Report is 208 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #721   +/-   ##
=======================================
  Coverage   14.23%   14.23%           
=======================================
  Files          25       25           
  Lines        2571     2571           
  Branches      367      367           
=======================================
  Hits          366      366           
  Misses       2189     2189           
  Partials       16       16           

Flag	Coverage Δ
quick-validation	0.00% <ø> (ø)
unit-tests	14.23% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.