Engineering Final Project: Construction of Indoor Maps given a crowd-source trajectory collection

Clone of the Mars: Mars game using Pygame as a Reinforcement Learning Gym 🚀

The server tells us which state, if any, a point (or location) is in The United States.

HSR Algorithm; Finding an ideal railway network for North America using data involving costs of construction, emissions from flights, passengers served, etc.

CSP and DPLL example project essentially done as a course project

Lightning-fast image color clustering with C-based RGB localization/euclidean distance calculation. Supports DBSCAN/HDBSCAN, Shapely geometry.

Assignments and projects from the interpretable artificial intelligence course offered at the University of Tehran.

A repository containning the assets for the data science cycle for predicting fire-risk levels for the greater city of Montreal. Six datasets were leveraged for this project including fire incidents, crimes, property assessments, demographics and weather conditions. Technologies used include Python libraries, Tableau and Excel.

AdSquare Data Analysis Exercise: Analysing the visitation of stores made by users, given GPS signals of users, and outline of the stores. Also exploring the demo-behavioural relationship between user affinities and specific stores they have visited.

Introducing the Linear Path Planner. Previous open source work at Avalanche to develop a physical fence robot for cattle and cows management to end over-grazing and yield up to 90% of hay excess.

A Python program for dumping all features from a given layer in a WFS server as GeoJSON

Studying about Geometry(point, line, polygon, etc)

Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.

Created ensemble models on spotify dataset to determine the popularity of a song and also worked on feature importance using SHAP.

SMS Alert system for thru-hikers - gives custom wildfire update for fires near trail

From geometry to objcet

Help the business to automate the credit card routing via a predictive model. Such a model should increase the payment success rate by finding the best possible PSP for each transaction and at the same time keep the transaction fees low.

Reprojecting shapefiles to new coordinate system for better mapping and geospatial analysis implementation

Collection of example Jupyter Notebooks and R Markdown files for predictive analytics