With the evolution of technology and fierce competitions in securing jobs in the market, interns have become an integral part of one's career development as a student. They provide practical training in addition to familiarizing students with the industry, in addition to giving you ample opportunity of developing professional skills before joining the work environment. However, securing relevant internships has proven difficult for many students since most of the internships available out there do not take the user's education, technical expertise, interests, and career goals into consideration. All the websites dealing with the search of internships provide numerous choices to students, but none of them are tailored according to a user's profile, and thus the user has to dedicate ample time for searching relevant options. AI technology is highly sophisticated in nature and allows processing of large amounts of data. Using artificial intelligence technologies, it is now possible for us to design computers to study a person's profile and suggest internships accordingly. With help of the profile of a user, it becomes easy for the system to know about his/her technical proficiency, education, career goals, interests, etc., which further enables the system to suggest more suitable internships to the user. The recommended AI-Based Internship Finder and Profile Analyzer would be able to solve all the above problems as it would be an efficient and intelligent tool for recommending internships and analyzing students' profiles. As such, the system would collect data about user's education, skills, interests, certifications, etc., process and analyze them, and compare with the internship requirements in the database. In addition, the system would be able to suggest areas for improvement for each student individually based on the analysis conducted. One more function of the recommended system includes the analysis of skill gaps and offering possible ways to bridge them. For example, the system would evaluate what skills a particular student lacks compared to the requirements of the industry or company he or she works for, offer some suitable courses and other learning materials, and so forth. In turn, the proposed solutions would assist both in finding an internship and improving one's career perspective. In conclusion, it should be mentioned that the recommended system is aimed at providing accurate recommendations, making the process of finding an internship easier, and increasing students' career and learning experience. The application would perform several functions, which would help students in career and internship.