AI & ML Job Assistant

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AI & ML Workflow
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Inspiration

The rapidly evolving AI and ML job market inspired us to create a tool that simplifies the job search process for professionals in these fields. We recognized the need for a specialized assistant that could provide up-to-date, tailored job information from the US to help candidates find their ideal positions more efficiently.

What it does

The AI & ML Job Assistant is a chatbot that:

Provides insights into the latest AI and ML job openings
Offers detailed information on job roles
Answers specific queries related to job searches in the AI and ML fields
Recommends suitable listings based on the user's skills and career goals
Guides users through the application process

How we built it

We developed the AI & ML Job Assistant by:

Leveraging the most up-to-date dataset of job listings from LinkedIn
Implementing advanced natural language processing to understand and respond to user queries
Designing a user-friendly chatbot interface for seamless interaction

Challenges we ran into

Some challenges we faced included:

Deploying the frontend application onto Azure Webapp
Seeminlessly integrating various components into a single web application
Adapting the dataset to run on Cosmos DB

Accomplishments that we're proud of

We're proud of:

Creating a comprehensive tool that covers near up-to-date AI/ML roles in the US
User Experience: Designing an intuitive and user-friendly interface to enhance user interaction and satisfaction required careful consideration and iterative testing.
Successfully being able to deploy a web application into Azure Infrastructure that utilises AI features
Working together as a team

What we learned

Through this project, we gained insights into:

The current landscape of the AI and ML job market
Navigating Azure Portal
Utilising AI models and uploading data to Azure DB
Deploying of different components in different ways (bicep & Azure Portal)

What's next for AI & ML Jobs Assistant

Future plans include:

Expanding the dataset to include more job listing sources
Implementing features to track application status and provide interview tips
Developing personalized career path recommendations based on user profiles and market trends
Instead of uploading new roles, making the data stream real-time
Mobile App Development: Developing a mobile application to provide on-the-go access to our AI & ML Job Assistant.

Built With

ai
azure
bicep
cosmos
db
fastapi
fluentui
gpt
langchain
linkedinvoyager
model
python
react

Submitted to

Microsoft Developers AI Learning Hackathon

Created by

Ideation and brainstorming ideas with our team. Troubleshooting, bug fixes and jumping in to help wherever required. Teaching langchain to team mates and assisting with prompts. Adapting code from phase one to work with our use case and getting web server and client up and running.

shannon gray
This thrilling experience provided a platform for me to experiment, learn, and contribute to the fascinating world of AI and cloud computing.
Starting with an in-depth study of AI job trends on LinkedIn, I gained valuable insights into the direction where technology was headed. This insightful exploration not only fueled my understanding but also guided my approach to dealing with the tasks at the Hackathon effectively.

My role was imbibed deep into the foundations of the project - writing the backend code. I developed a robust code ensuring a smooth load of data into the Azure Cosmos DB. This experience strengthened my understanding of advanced programming frameworks and data science.

To extend the project’s capabilities, I wrote backend code responsible for vectorising and embedding through OpenAI. With this, I managed to give life to tools that could proficiently handle information and process logic - a vital step towards achieving my AI goals.

Next, I put my knowledge of cloud computing to test. I deployed resources on Microsoft Azure to facilitate the software application's performance. This didn't just amalgamate my acquired knowledge but was an electrifying hands-on experience of maintaining the application's infrastructure.

To conclude, the Hackathon was not void of technical challenges. However, the art of resolving these obstacles concocted a recipe of enhanced skills, knowledge, agility, resilience, and most importantly, patience for me.

This event took me on a journey of relentless innovation in AI while offering a fulfilling contribution to the tech community. This purely personal experience was rewarding and has fueled my unquenchable thirst for learning more. So, until the next Hackathon!
|#MicrosoftAIHackathon | #ArtificialIntelligence | #MicrosoftAzure | #OpenAI | #Innovation | #TechCommunity | #BackendDevelopment | #CloudComputing | #DataScience | #MachineLearning | #LinkedIn | #HackathonExperience | #AzureCosmosDB |

ChituSR Ramachandran
Assisted in troubleshooting database connection, initally vectorising the data, learning about the different components.

Thomas Suebwicha

Updates

Thomas Suebwicha started this project — Jun 23, 2024 05:25 AM EDT

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