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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63566
Volume:
10 |
5 |
May 2026
Pages:
1--
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Master of Computer Application
Bapuji Institute Engineering and Technology
Master of Computer Application
Bapuji Institute of Engineering and Technology
In today’s digital age, Artificial Intelligence has become an important part of how technology grows and how decisions are made using data. Even with all these advancements, women are still less represented in the technology field. Many face challenges like lack of proper education, guidance, and mentorship, which makes it harder for them to move forward in their careers. This project, “AI for Empowering Women in Technology,” is created to help bridge this gap. It uses AI to support women by understanding their skills, interests, and career goals, and then suggesting useful learning and career options. The system helps users find suitable courses, job opportunities, scholarships, and mentorship programs based on their individual profiles. With the help of this platform, women can make clearer and more confident career choices. It also helps them identify areas where they need improvement and encourages continuous learning. The aim is to make learning resources more accessible, especially for those who may not have easy access otherwise. Overall, the project focuses on creating equal opportunities and building confidence among women. By combining smart recommendations with mentorship support, it works towards reducing the gender gap in technology and encourages women to grow, lead, and succeed in the tech industry.
KEYWORDS
The system studies each user’s skills, interests, and career goals to suggest suitable learning paths, courses, and job options. These suggestions make it easier for users to choose the right direction, reducing confusion and helping them make better decisions about their careers and skill development. The platform is designed in a simple and easy-to-use way, with sections like Inspiration, Resources, Confidence, and Mentorship. One of the key features, “Get Inspired,” shares real success stories of women in technology, which helps motivate users and builds their confidence. By using AI methods, the system can quickly find skill gaps and suggest the right resources to improve them. This helps users become more prepared for job opportunities. Overall, the platform works reliably and can handle real-world use. It has strong potential to support more women in joining, continuing, and succeeding in technology careers while promoting equal opportunities and growth in the industry.
1. Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson Education. 2. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. 3. Marr, B. (2019). Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems. Wiley Publications. 4. Sharma, P., & Kaur, R. (2022). “AI-Driven Personalized Learning Systems for Women Empowerment.” International Journal of Computer Applications. 5. Gupta, S., & Verma, A. (2021). “AI in Career Guidance and Mentorship Programs.” Research. 6. United Nations (2021). Women in Technology: Bridging the Gender Gap. UN Women Report. 7. Coursera. (2024). AI and Machine Learning Courses. Retrieved from https://www.coursera.org 8. Udemy. (2024). Technology and AI Learning Resources. Retrieved from https://www.udemy.com 9. edX. (2024). Online Courses in AI, Data Science, and Technology. Retrieved from https://www.edx.org 10. LinkedIn Learning. (2024). AI and Technology Career Development Resources. Retrieved from https://www.linkedin.com/learning
Publication Date
5/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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