AI Career Advisor Remembers Rejected Applications
The article describes a React + Vite chat app that acts as an AI career advisor for students. The advisor remembers previous interactions and adjusts its recommendations accordingly.
Why it matters
This project demonstrates how AI-powered assistants can provide a more personalized and contextual experience by leveraging persistent memory and language models.
Key Points
- 1The app uses React, Vite, Groq (LLM), and Hindsight (persistent memory) to build an AI-powered career advisor
- 2The advisor can recall a student's previous interactions, including rejected applications, and adjust its suggestions
- 3The memory architecture involves recalling relevant memories, calling the LLM with the memories, and saving new information back to the memory
Details
The project is a React + Vite chat app that serves as an AI career advisor for students. It allows students to share their skills, past applications, and other information, and the advisor provides resume feedback, skill gap analysis, and internship recommendations. The key innovation is that the advisor remembers previous interactions, including rejected applications, and can adjust its strategy accordingly. This is achieved through a memory architecture that involves recalling relevant memories from Hindsight (a persistent cloud memory service), calling the Groq language model with those memories prepended to the system prompt, and then saving any new information back to Hindsight. This allows the advisor to maintain context and continuity across multiple conversations with a student, rather than treating each interaction as a blank slate.
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