Скачать или смотреть ScrapNalyze Job Mate Assignment using Django with MySql

ScrapNalyze is an integrated Job and Internship Portal that uses a custom-built, independent Python web scraping pipeline to collect real-time job listings and internship opportunities from multiple reputable online sources. Using reliable Python libraries such as BeautifulSoup and Requests, the scraping engine gathers, cleans, and aggregates large volumes of data, which is then securely stored in a MySQL database. This ensures that the portal remains updated with the latest postings, giving users an edge in accessing fresh opportunities without manual searching.
On the frontend, ScrapNalyze is powered by the robust Django web framework, which connects to the centralized database and serves the aggregated listings through an intuitive, user-friendly interface. The portal is designed not just to list jobs but also to provide tailored career guidance, especially for internship seekers who are often entering the job market for the first time and need structured support to build their profiles and gain valuable experience.
Internship seekers can benefit from features such as an online CV generator to help craft a professional resume even without prior experience, an AI-powered job-to-CV matching system that recommends the most relevant internships based on their skills and field of study, and an interactive chatbot to answer their queries about application procedures, interview preparation, and best practices for approaching potential employers.
Additionally, ScrapNalyze offers valuable job market trend analysis, transforming raw scraped data into actionable insights. These insights highlight which industries are actively hiring interns, which skills are most in demand, and which roles offer the best entry points for students and graduates. Visual dashboards and interactive charts make these trends easy to understand, enabling internship seekers to align their learning, upskilling, and applications with the latest market realities.
By decoupling the scraping engine from the Django application, ScrapNalyze achieves modularity, maintainability, and transparency. The scraping process generates CSV output logs for every run, ensuring traceability of the raw data that fuels the platform.
In summary, ScrapNalyze is designed to bridge the gap between scattered job listings and the modern job seeker’s and internship seeker’s need for consolidated, real-time information and personalized career guidance. It empowers users not only to find jobs and internships efficiently but also to build strong applications, understand market needs, and enter the workforce confidently with clear, data-backed insights — all within a single smart platform.