This is a submission for the Postmark Challenge: Inbox Innovators.

What I Built

TalentFilterAI is a platform designed to help recruiters and hiring managers filter and shortlist candidates based on job requirements, utilizing AI-powered email parsing with Postmark.

Recruiters can create jobs by providing a job title, description, qualifications, and requirements. Once applications are sent to the platform through Postmark Inbound Parse Feature, they are parsed, and the applicant is added to the database.

The AI parses the email to match the applicant to a job. It then analyzes the job's qualifications and requirements alongside the applicant's details to determine if the applicant meets the specified criteria.

As a recruiter, you can view applicants and their applications, and then shortlist them. The platform provides a list of applicants per job, indicating whether they have passed or failed the job requirements.

Demo

https://www.loom.com/share/cdac91b7415a42f0a53be223a01a8012

Code Repository

https://github.com/edwinencomienda/talentfilterai

How I Built It

For the tech stack, I used the following:

• Next.js - for the frontend and backend
• Tailwind CSS - for styling
• Shadcn UI - for components
• Postmark - for email parsing and email sending
• Turso - for the database
• Drizzle - for database ORM
• Clerk - for authentication
• OpenAI - for the AI
• Cloudflare R2 - for file uploads

My experience with Postmark is incredible. It's a powerful tool that allows me to easily parse emails and send emails. The Portal and Documentation are very helpful, and the API is very easy to use.