A production-grade developer portfolio built with Gatsby and React, focused on fast delivery, clean architecture, and maintainable content workflows. It includes reusable UI patterns, markdown-driven sections, and deployment-ready structure suitable for continuous iteration.
"}},{"node":{"frontmatter":{"title":"AutoAccept Facebook Friends Extension","tech":["JavaScript","Chrome Extension APIs","DOM Automation","Browser Scripting"],"github":"https://github.com/SalmanDeveloperz/AutoAccept-Facebook-Friends","external":"https://github.com/SalmanDeveloperz/AutoAccept-Facebook-Friends"},"html":"Built a browser extension that adds one-click friend-request approval for high-volume account workflows. The implementation focuses on safe DOM interaction, action batching, and practical UX to reduce repetitive manual operations.
"}},{"node":{"frontmatter":{"title":"GSoC 2025 Final Engineering Report","tech":["Open Source","Kubernetes","Docker","Microservices","Technical Documentation"],"github":"https://github.com/SalmanDeveloperz/GSoC-2025","external":"https://github.com/SalmanDeveloperz/GSoC-2025"},"html":"Published the complete technical report for Google Summer of Code 2025 work, documenting architecture decisions, implementation milestones, and delivery outcomes. It serves as a concise engineering record of cloud-native and open-source contribution impact.
"}},{"node":{"frontmatter":{"title":"VR Inventory Management System","tech":["PHP","Inventory Management","Admin Panels","CRUD Workflows"],"github":"https://github.com/SalmanDeveloperz/vr-inventory","external":"https://github.com/SalmanDeveloperz/vr-inventory"},"html":"Implemented an inventory management workflow focused on stock tracking, item lifecycle updates, and operational visibility for daily use. The project emphasizes practical CRUD architecture and maintainable backend logic for business-facing management features.
"}},{"node":{"frontmatter":{"title":"ML House Price Prediction (Dockerized)","tech":["Python","Scikit-learn","Pandas","Jupyter Notebook","Docker"],"github":"https://github.com/SalmanDeveloperz/ML_House_Prediction","external":"https://github.com/SalmanDeveloperz/ML_House_Prediction"},"html":"Developed a machine-learning workflow for house-price prediction using comparative regression/classification modeling and feature preprocessing. The repository includes reproducible notebook experiments plus Docker support for environment consistency.
"}},{"node":{"frontmatter":{"title":"Student Performance Prediction and Classification","tech":["Python","Scikit-learn","Data Preprocessing","Model Evaluation","Visualization"],"github":"https://github.com/SalmanDeveloperz/Student-Performance-Prediction-and-Grade-Classification","external":"https://github.com/SalmanDeveloperz/Student-Performance-Prediction-and-Grade-Classification"},"html":"Created a supervised machine-learning pipeline to predict student outcomes and classify grade ranges from educational datasets. The project covers preprocessing, training, evaluation, and visual analysis to support evidence-based academic performance insights.
"}}]}}}