AI Photo Swaps, Smart Rental Finder & Coding Hacks for Pandemic Graduates
This guide shows pandemic graduates how to create AI‑generated personalized graduation photos with Huawei ModelArts, locate optimal rental housing using Python‑driven web scraping and Gaode maps, and accelerate job preparation through Huawei Cloud Classroom courses and coding practice, turning a challenging season into a tech‑enabled opportunity.
During the 2020 pandemic, graduates faced a unique set of challenges, from missing traditional graduation ceremonies to a tough job market. This guide offers practical, technology‑driven solutions to help them navigate this period.
Guide 1: AI Face Swap for a Personalized Graduation Photo
Using Huawei ModelArts, anyone can generate a custom graduation portrait by swapping faces with AI. The process involves three simple steps: face detection, face fusion, and deploying the model as an online service.
Face detection using the dlib library’s shape_predictor to capture 68 facial landmarks.
Face fusion by creating masks for both the source and target faces and applying Poisson blending.
Deploy the trained model on ModelArts to provide an online prediction service.
Examples of the results include single‑person photos, group photos, and background changes such as cherry blossoms or lakeside scenery.
Guide 2: Smart Rental Finder Using Python and Gaode Maps
Finding affordable housing near a workplace can be daunting. By scraping rental listings with a simple Python script (crawl.py) and visualizing the data on a Gaode map, graduates can quickly identify optimal neighborhoods within a one‑hour commute.
The workflow includes:
Extracting property name, address, and rent from a target website.
Saving the data to rent.csv.
Loading the CSV into a web page that uses Gaode’s JavaScript API to display the listings and draw a one‑hour travel radius.
Guide 3: Boost Your Career with Huawei Cloud Classroom
Huawei Cloud Classroom offers free, industry‑level courses covering front‑end, back‑end, AI, and more. Learners can follow structured curricula, complete hands‑on labs (e.g., building a website, face‑recognition app), and access interview preparation resources such as real‑company coding tests.
Featured tracks include a Web Front‑End Full‑Stack Growth Plan that takes beginners to a competent front‑end developer in three months, as well as Python, Java, and AI fundamentals.
Guide 4: One‑Month Path from Beginner to Offer
Effective interview preparation combines systematic problem‑solving with targeted practice. High‑quality repositories like the "algorithm‑pattern" project on GitHub provide curated LeetCode solutions, covering data structures (binary trees, stacks, queues) and algorithms (binary search, sorting, recursion).
Typical study plan: start with high‑frequency topics, use LeetCode exploration cards for reinforcement, then focus on company‑specific questions. For major tech firms (BAT, Huawei), solving 200‑300 problems is usually sufficient.
Final Blessing
Whether you choose AI‑generated graduation photos, a smart rental tool, intensive coding practice, or free classroom courses, there’s a tech solution to help you thrive during this unusual graduation season. Wishing all graduates smooth sailing and bright futures!
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