Description: Hashtag is an innovative recruitment platform designed to revolutionize the hiring process for both recruiters and job seekers. By harnessing the power of AI, Hashtag streamlines recruitment tasks, enhances candidate discovery, and simplifies the overall hiring experience.

As part of the design team, I contributed to the development of the platform's Minimum Viable Product (MVP), focusing on user-centered design principles. Through extensive research, including empathy mapping and persona development, we identified the key needs and pain points of our target users—recruiters seeking efficiency and job seekers desiring clarity in the application process.

AI-Powered Assistant: Provides intelligent recommendations and automates repetitive tasks, allowing recruiters to focus on finding the best candidates.

Gamification Elements: Engages users with a coin system that rewards actions like profile completion and successful hires, encouraging continued platform interaction.

Advanced Filtering: Enables recruiters to efficiently narrow down candidates based on specific criteria, improving the speed and accuracy of the hiring process.

Collaborative Hiring Tools: Facilitates teamwork by allowing multiple stakeholders to share feedback and notes on candidates seamlessly.

The MVP of Hashtag received positive feedback for its intuitive interface and powerful features, making it easier for recruiters to manage their hiring processes and for job seekers to navigate their applications. This project has not only improved the recruitment landscape but has also set the stage for future enhancements and scalability.

you can find the project here