🚀 About the Project – PathPilot AI 💡 Inspiration

Many students struggle with career confusion, especially when deciding between private jobs, higher studies, or government exams. I noticed that most students lack personalized guidance and often rely on scattered information from the internet or coaching centers. This inspired me to build PathPilot AI, a smart career copilot that gives clear direction using artificial intelligence.

🛠 How I Built It

PathPilot AI was built using Amazon Nova via AWS Bedrock, along with a simple frontend using HTML, CSS, and JavaScript, and a Node.js backend. The system allows users to either chat freely with the AI or generate a structured career roadmap by selecting their degree, goals, and skills. The AI then analyzes the user’s profile, identifies skill gaps, and generates a personalized roadmap including career options, government exams, and a 6-month preparation plan.

📚 What I Learned

Through this project, I learned how to integrate generative AI models using APIs, handle backend–frontend communication, design user-friendly interfaces, and structure AI prompts to produce meaningful and personalized outputs. I also gained experience in building a real-world AI product rather than just a basic chatbot.

⚡ Challenges Faced

One of the biggest challenges was integrating Amazon Nova securely and handling API permissions correctly. Designing prompts that generate structured and useful responses instead of generic answers also required experimentation. Another challenge was creating a clean and intuitive user experience that feels like a real product rather than a simple student project.

🌍 Impact

PathPilot AI aims to reduce career confusion among students by providing accessible, personalized, and actionable guidance. It demonstrates how AI can be used to solve real-life problems and empower students to make confident career decisions.

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