InternConnect

InternConnect

202110560 Hamdan Ali Altahri

202010941 Mohammad Marwan     

201920175 Abdullah hamami           

202011269 Mohammed Mustafa     

The students have a big problem of securing relevant internship programs which align with their skills and qualifications. The conventional methods of job searching are usually associated with manual search through multiple postings, meaning that there are inefficient matches and lost opportunities.

This report presents our new product, InternConnect, a Flutter-written mobile application that is based on smart CV analysis via AI and offers user-specific internship recommendations. We will take the approach of extracting the important information about the student CV such as the skills, education, experience and match them with the specific internships using the help of smart algorithms.

We have managed to work out a fully functional application with the user authentication, uploading and parsing of CVs, the analysis of skills and a recommendation engine. The system will offer ranked internship recommendations (High, Medium, Low match) through the profile compatibility.as we have will combine the LinkedIn Jobs API to give real-time internship data and develop the matching algorithm with the help of machine learning. Since we have introduced the features that will pull out the education domain in CVs and avail the needs and skills that are required to equip the students with what they need in the market in future.