Developed Netflix 2.0, a fully responsive and feature-rich clone of the popular streaming platform, using modern web technologies. This project showcases my expertise in creating interactive and scalable web applications while integrating third-party APIs and secure authentication systems. Key Features: Technologies Used: Netflix 2.0 serves as a functional and visually appealing streaming platform that demonstrates …
Read more “Payment Gateways”
Rewarding Players, Empowering Merchants SlotTrail is a cutting-edge platform designed for COAM owners (Coin-Operated Amusement Machine owners) to drive engagement and increase foot traffic through location-based promotions. With a Pro Subscription, owners can easily add their locations, offer exclusive free promotions on machines, and attract more players to their venues. As players engage with the machines, they earn rewards points that can be …
Read more “SlotTrail”
This all-in-one e-commerce platform seamlessly integrates a wide range of features, including job listings, freelance services, marketplace transactions, event management, and service bookings. Built with ReactJS for a dynamic and responsive user experience, the platform utilizes Tailwind CSS to ensure a modern and flexible design that adapts to any device.i To efficiently manage and fetch data, React Query is leveraged, providing …
Read more “Versatile E-Commerce Platform”
Verity Tech is a platform designed for creating and managing contracts, enabling contractors to hire talent on an hourly basis from around the world while efficiently managing costs. Built with Django REST and ReactJS, the platform offers a responsive, smooth user experience powered by RadixUI for intuitive design.
An interactive mapping application for Estonia that visualizes healthcare facilities and population density, supporting healthcare planning and resource allocation.
Calculating and Mapping drone paths using shapely and Greedy Salesman
Data & Tools: Skills & Knowledge Gained: This project leverages Sentinel-2 time-series data to estimate the optimal sowing date for crops. Instead of using machine learning, we performed a detailed time-series analysis. The workflow involved cloud masking and smoothing the data using a 15-day moving average window, followed by calculating key vegetation indices. Finally, we …
Read more “Estimating Sowing Dates using S2 Time-Series”
Skills & Knowledge Gained: This project focuses on visualizing 3D point cloud data in an interactive 3D environment using CesiumJS. By embedding Cesium’s powerful geospatial capabilities into a web interface, this application allows users to explore complex 3D point data, such as urban models, terrain features, and sensor data, directly within their browsers. Explore the …
Read more “Visualizing 3D Point Cloud Data using Cesium”
Analyzing Seasonal Dynamics in KPK Tools Skills & Knowledge Gained This project investigates the climatic patterns in Khyber Pakhtunkhwa (KPK), a region in northwestern Pakistan characterized by a diverse topography—from high mountainous areas to vast plains. By analyzing datasets spanning several decades (1970–2000), the study examines seasonal variations in temperature, precipitation, and solar radiation. This …
Read more “Global Climate Data”