This project introduces an innovative AI-powered platform designed to transform the way students navigate career progression and skills development. At its core, the platform leverages advanced artificial intelligence algorithms to deliver highly personalized career recommendations, curated skill-building resources, and access to job and internship opportunities. Unlike traditional static career services, this system adapts to the unique strengths, weaknesses, and aspirations of each student. By analyzing user profiles, learning habits, and industry trends, it generates dynamic pathways that evolve as the student grows academically and professionally. Moreover, planning career paths has become increasingly complex, requiring a deep understanding of industry trends, skill requirements, and personal strengths. This paper introduces a machine learning-based platform aimed at providing personalized academic project suggestions and career path guidance. By analyzing students' academic history, interests, and career objectives, the platform offers tailored recommendations for projects and road maps that include both paid and free learning resources to master necessary skills. The system leverages hybrid recommendation algorithms that combine collaborative filtering with content-based filtering, enhanced by neural networks to provide more accurate and contextually relevant suggestions. This research explores the platform's development, methodologies, and testing, presenting a promising solution to bridge the gap between academia and industry readiness.