Womentum

Inspiration The AI-Driven Job Portal for Women was inspired by the global need to support women in the workforce. Despite advancements in gender equality, women still face significant barriers when it comes to accessing career opportunities, mentorship, and skills development. By creating a job portal tailored specifically for women, we aim to bridge these gaps and contribute to the United Nations' Sustainable Development Goal 5 (Gender Equality). This platform empowers women to find meaningful employment, upskill for high-demand roles, and connect with mentors in their fields.

What it Does This job portal connects women with job opportunities by:

Providing Job Listings: Employers can post job openings specifically targeting women, making relevant opportunities easily accessible. Offering Mentorship: Women can connect with mentors aligned to their career goals, providing support and guidance. Skills Training Recommendations: Through the portal, women can access skill-building resources tailored to their career paths, enabling them to stay competitive and advance in their fields. User-Friendly Interface: The portal is designed to be intuitive, encouraging women to browse, apply for jobs, and connect with mentors easily. How We Built It The portal was developed using a combination of modern technologies:

React: The front-end framework was chosen for its flexibility, allowing us to create a dynamic user experience. Flask: Used as the back-end API to manage job data, handle user input, and interact with the database. SQLAlchemy: Provides a simple yet powerful interface for managing job listings and mentor data in a database. Axios: Used in the front-end to send and receive data from the Flask API, enabling seamless data flow between the client and server. Flask-CORS: Allows secure cross-origin resource sharing between the client and server, essential for a smooth user experience. Challenges We Ran Into Some of the main challenges we encountered were:

Ensuring Accessibility: Making sure the platform is accessible and inclusive, enabling a smooth experience for women from all backgrounds and technical skill levels. Balancing Features with Usability: Striking a balance between offering robust features (such as mentorship and skill recommendations) and maintaining an intuitive user interface. Integration of Front-End and Back-End: Managing CORS configurations, asynchronous API calls, and data rendering posed challenges but allowed us to implement a scalable, maintainable codebase. Accomplishments That We’re Proud Of Creating a Platform that Addresses a Social Need: This project provides a practical solution to real-world challenges faced by women in the workforce. Seamless Integration: Despite the challenges, we achieved smooth interaction between the front-end and back-end, creating a cohesive experience. Efficient Job Listing Management: With a strong back-end setup, the portal can efficiently manage, update, and display job listings, enhancing user engagement. What We Learned Throughout the project, we gained insights into:

Full-Stack Development: Building this portal allowed us to explore how front-end and back-end technologies complement each other. Challenges of CORS in Real Applications: Integrating CORS to enable secure, cross-domain communication between the client and server was a valuable learning experience. User-Centered Design: Focusing on the needs of women users helped us understand the importance of user-centric design in creating inclusive and impactful technology. What’s Next for the AI-Driven Job Portal for Women Future improvements and features could include:

User Authentication and Profile Management: To provide a more personalized experience, allowing users to track their applications and manage mentorship connections. Advanced AI Matching: Using AI to match users with mentors based on career aspirations and skill requirements. Resource Library for Skill Development: A curated library of resources, workshops, and certifications for upskilling and continuous learning. Mobile App Development: Expanding the platform to a mobile app for even greater accessibility.

Built With

• axios
• flask
• flaskcors
• flasksqlaclhemy
• postgresql
• react
• sqlalchemy