AssessMe.AI

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  Feedback and Analytics

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  Curation and positioning of question

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  Job Dashboard

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  AI Interview

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  Vector embedding of Convex

What it does

• Allows users to apply for jobs and take mock assessments
• Provides AI-generated feedback and analytics on interview performance
• Offers a personalized experience with customizable mock interviews

How we built it

• Convex was used as the serverless database platform for data storage and management, real time ai streaming, full text search, vector embedding search and chatbox with like (thumbs up) feature.
• Next.js and TypeScript for frontend development
• Tailwind CSS for styling the user interface
• Integrated OpenAI's language models for feedback generation
• Utilized Whisper.ai for speech-to-text transcription during interviews

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Challenges we ran into

• Integrating various AI technologies seamlessly into the platform
• Ensuring efficient data management and real-time updates with Convex

Accomplishments that we're proud of

• Leveraging Convex's serverless architecture for scalable and efficient data handling
• Seamless integration of Convex with frontend technologies like Next.js and TypeScript

What we learned

• Working with serverless databases like Convex
• Optimizing performance and real-time data synchronization with Convex
• Combining serverless databases with AI technologies for enhanced user experiences

What's next for AssessMe.AI

• Exploring advanced querying and data modeling capabilities of Convex
• Integrating Convex with additional AI services for more comprehensive insights
• Optimizing data synchronization and real-time updates for a smoother user experience

Built With

• convex
• next.js
• openai
• tainwindcss
• typescript
• wisper.ai