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ai_object_detection_deeplearning

This is a Driving Obstacle Detection Model, designed to operate with a 'Within Visual Spectrum' camera feed ( 450 -700 nm range ). Can be adapted to multiple frame rates, however +30-FPS is recommended. Useful for detecting other moving and static vehicles, pedestrians, signboards, pets and animals, and other misc road obstacles. Utilized deep adapted C-NN, written using C++ and Python.

my_sql_design

Contains RD-Schema for an online transaction website : Works with any version of MySQL. Creates an event occurrence table to track events, User information table, Transaction Id tracking table, Login sessions tracking table etc. Also contains Complex sample queries.

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Object Detection for Collision Avoidance Demonstration Version

programming-abstractions

Some C++ Coursework :: Created using C++, Contains Implementations of Linked Lists as Queues, Linked list tracing, Medium complexity recursive programs, creation of graphical fractals

stock_prediction_ai_dem

Created as a demonstration to showcase the usefulness of RNN's with LSTM, in the pursuit of accurate stock price prediction models. Creating using Tensorflow. Written in Python-3 using Jupyter Notebook

time_complexity_s

Optimized Array Value Duplication.

twitter_sentiment-analysis

x-ray-glancetool

Type: Educational tool | Description: This is a tool created in order to make it convenient for Medical Professionals to look at contrast Xray and MRI imagery.