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JobPlex - Perplexity for Jobs

Inspiration

As job seekers with experience in the hiring landscape, we have often struggled to find accurate, up-to-date insights about companies. We saw a clear gap in the use of large language models (LLMs) for job seekers, especially when it comes to researching companies efficiently and confidently.

What It Does

JobPlex is an all-in-one research assistant for job seekers.
With just a company name and a job title, it provides:

• A summarized company overview
• Latest news and events
• Insightful trends and analysis

It helps users decide not only who the company is, but whether now is the right time to join.

How We Built It

• Frontend: Streamlit
  
• AI Backend: Perplexity API (sonar-pro)
  
• Additional Tools: Custom web scraper to supplement information gaps

Challenges We Ran Into

• Low profile companies limit the quality of LLM-based responses
  
• Slow API response time affected the testing iterations

Accomplishments We're Proud Of

• Successfully integrated Perplexity’s real-time LLM with citation support
  
• Built a fast and intuitive tool that automates what usually takes hours
  
• Brought a research-grade API into a real-world use case for job seekers
  

What We Learned

• How to translate API capabilities into user-centric features
  
• Practical limitations when LLMs depend on sparse web data

What's Next for JobPlex

• Company-to-company comparison
  
• PDF report generation for easy sharing
  
• Visual dashboards for insights
  
• Bias detection and sentiment scoring

Built With

• python
• selenium
• sonar
• streamlit