Inspiration
To leverage the ease in hiring software employees
What it does
Automate the hiring process system with Publicly available LLM's in Low-Cost Mode
How we built it
We've made Prompt Engineering to the ChatGPT to make it grade the Interviewee's performance. We've modularized the process and made flask application with Gradio Interfaces of individual modules re-route via Endpoints. We've utilized HuggingFace for hosting the Gradio Interface of Each module in our project.
Challenges we ran into
Making a look good website look us lot a amount of time. It was quite a challenge for us. Also making the project public and handling the Internet Servers felt like a tedious task for us.
Accomplishments that we're proud of
We're able to team up co-operatively and understand the way collaboratively. We've made use of technologies, some of which we've never used. It was a daring step for us and we're proud of it.
What we learned
The Future of Technology lies in AI and GPT. Correct utilization can serve us with Faster, accurate work results and comfort.
What's next for JASIGS : JustASimpleInterviewGradingSystem
Developing Plagiarism Check as an additional Service and Completing the Front-end Part Completely.
Built With
- amazon-web-services
- chatgpt
- css
- flask
- github
- google-colab
- gradio
- guidance
- html
- huggingface
- javascript
- kor
- langchain
- microsoft
- openai
- pinecone
- python

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