inshirah-idris/HER_AI_PATH

HERAIPATH is a web app that aims to close the gender gap in AI and data science. It uses AI to tailor a career path for each user, and provides them with learning resources and community support. HERAIPATH helps women and girls in Africa to discover, learn, and pursue careers in AI and tech fields. # HER_AI_PATH HERAIPATH is a web app that aims to close the gender gap in AI and data science. It uses AI to tailor a career path for each user, and provides them with learning resources and community support. HERAIPATH helps women and girls in Africa to discover, learn, and pursue careers in AI and tech fields. # Introduction In the rapidly evolving digital age, the fields of artificial intelligence (AI) and data science have emerged as key drivers of innovation and growth. However, a significant gender gap persists, with women, particularly in Africa, facing numerous barriers to entry and progression. This is the gap that HerAIPath aims to fill. HerAIPath is a platform designed to address this gap and empower African girls and women to access AI and data science careers. HerAIPath is not just a platform; it embodies a community and a movement. We aim to bridge the gender gap in technology by providing resources, mentorship, and opportunities for African women to acquire and develop the skills and knowledge necessary for successful careers in the tech industry. "HerAIPath" aspires to empower a fresh generation of African women to not only engage in but also spearhead and innovate in these avant-garde fields. Problem Statement In recent years, the fields of AI and data science have seen exponential growth, significantly influencing various sectors globally. These fields offer immense potential for innovation, economic development, and societal advancement. However, this rapid growth has also highlighted a critical issue: the significant underrepresentation of women in those fields. A significant gender gap persists in AI and data science. Some key findings from UNESCO reports reported that women are particularly underrepresented in science, technology, engineering, and mathematics (STEM) education and, consequently, in STEM careers1, and that just 22% of professionals working in the field of AI are women2. Kaggle reported that in the 2020 Machine Learning and Data …