AI-POWERED SCHEDULING
Job finder application
This project focuses on job searching. There is a user account as well as a company account. Companies can post job openings, and general users can find their desired jobs through filtering. They can also chat with each other to have meaningful conversations.
Timeline
I require 5 weeks to complete the entire project from initial explorations to final designs.
Background
Wthr leverages artificial intelligence to optimize your daily schedule, ensuring maximum productivity and work-life balance. The app seamlessly integrates with your existing calendar and task management tools, using advanced algorithms to prioritize tasks, suggest optimal times for meetings, and provide smart reminders.
This category details the step-by-step approach taken during the project, including research, planning, design, development, testing, and optimization phases.
Research & Planning
We began by identifying user needs through surveys and interviews with job seekers. Our research revealed that users wanted a simple, personalized job search experience with advanced filtering options.
Design & Prototyping
Based on our findings, we created wireframes and interactive prototypes that focused on intuitive navigation, personalized job listings, and easy application tracking. The design prioritized accessibility and responsiveness for both mobile and desktop users.
Development & Implementation
The application was developed using modern web technologies, allowing users to create accounts, save preferences, filter job listings, and apply directly through the platform. We integrated secure login and real-time job updates to enhance usability
Testing & Optimization
We conducted usability testing with real users to identify pain points and improve the user experience. Continuous feedback helped us refine features, ensuring the application was stable, user-friendly, and effective in helping users find relevant job opportunities.
The resulting AI-powered scheduling app offers a seamless user experience, allowing individuals and businesses to effortlessly manage their schedules.
To address user frustrations with traditional job portals, we implemented a powerful filtering system allowing users to sort jobs by role, location, experience level, and salary. We also added a user dashboard where applicants can track their application status, receive job recommendations, and get notified about deadlines. The UI was simplified to reduce friction during account creation and job applications.
Here, the outcomes and achievements of the project are highlighted, including user feedback, adoption rates, and industry recognition.
After launch, the application saw a 40% increase in user engagement within the first month. Over 75% of users successfully applied for at least one job within their first week. User feedback highlighted the ease of use, efficient filtering system, and overall satisfaction with the job tracking feature