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  My Project image

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  Resume Visual Template

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  Career Path Visualisation

Inspiration

The idea was inspired by challenges faced by students and professionals:

Struggling to tailor resumes for different companies

Not knowing which skills to focus on from lengthy job descriptions

Lacking structured preparation before interviews

✨ We wanted to solve this by creating an AI career coach — like a mentor available 24/7.

What it does

CareerCompass AI takes in:

Company Name

Job Role

Job Description

and generates personalized insights through widgets like:

🧩 Role Analysis

📄 Resume Optimization

📚 Study Plan

🎤 Interview Prep

📈 Career Path Visualization

This can be summarized as:

𝐶 𝑎 𝑟 𝑒 𝑒 𝑟   𝐼 𝑛 𝑠 𝑖 𝑔 ℎ 𝑡

𝑠

𝑓 ( 𝐶 𝑜 𝑚 𝑝 𝑎 𝑛 𝑦   𝑁 𝑎 𝑚 𝑒 , 𝐽 𝑜 𝑏   𝑅 𝑜 𝑙 𝑒 , 𝐽 𝑜 𝑏   𝐷 𝑒 𝑠 𝑐 𝑟 𝑖 𝑝 𝑡 𝑖 𝑜 𝑛 ) Career Insights=f(Company Name,Job Role,Job Description)

Where ( f ) represents our AI-driven analysis pipeline.

How we built it

AWS PartyRock → Designed the app’s widgets and user flow

Amazon Bedrock (LLMs) → Powered role analysis, resume optimization, and interview prep

Amazon S3 → Resource storage

Amazon QuickSight (optional) → For visualization

👉 We structured the widgets so that with minimal input, users get maximum career insights.

Challenges we ran into

Integrating multiple widgets into a smooth workflow

Ensuring AI outputs are accurate, role-specific, and non-repetitive

Designing the app to be simple for beginners yet powerful for advanced job seekers

Handling the complexity of resume optimization (balancing generic vs. role-specific advice)

Accomplishments that we're proud of

Built a working AI career coach prototype in limited time

Successfully combined AWS PartyRock + Bedrock for a real-world use case

Created a user-centered workflow with a clean, minimal interface

Showcased how AI + Cloud can solve practical problems in career guidance

What we learned

✍️ Prompt Engineering — small changes in prompts can drastically improve AI outputs

⚡ Rapid Prototyping with PartyRock — quickly build AI apps without backend overhead

🤖 Amazon Bedrock — powerful for NLP tasks like resume tailoring and interview prep

🎯 User-Centered Design — minimal input → maximum guidance

🔄 Iterative Development — build fast, test frequently, refine continuously

⏳ Collaboration & Time Management — working under strict deadlines built strong teamwork

What's next for CareerCompass AI

🔗 Real-time integration with LinkedIn & job portals for live job descriptions

📊 Use Amazon Comprehend for deeper text analysis of job requirements

🌍 Add multi-language support for global reach

📑 Enable exportable career reports (PDF/Word) for professional use

Built With

• amazon-web-services
• apis
• bedrock
• dynamodb
• partyrock
• python
• resume-optimization
• s3
• sdk
• study-plans