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GANNlib is a simple Genetic Algorithms and Neural Network library, that provides an easy to use interface for creating GAs and NNs quickly. Use a simple GA in less than 20 lines of code.
Neural Network library in Python
Aloha is a daily briefing newsletter Slack Bot. The Slack bot will deliver a short brief on the top 10 news within one specific category such as Technology or business.
Easily search videos based on semantic content without the need for manual labelling.
We propose a model for optimal decision-making on arbitrary, complex modalities, with applications to healthcare, robotics, HCI, and general artificial intelligence.
This take on the FireDrone was developed with first-responders in mind, providing functionality and data storage to view the area of interest, monitor the situation, and store it all in the cloud.
A connect 4 AI using a neural network trained off a minimax engine to lower the computational impact of computing moves.
The PyVy Super Graphics program is a cross-platform, python application that allows users to create amazing graphics from complex data.
An app that reduces stress associated with planning trips by making the itinerary creation process quick and easy
Data Security, Data Analysis, Data Management
Drive-thrus of future
ArcVision is a geospatial analytics dashboard powered by deep learning technology. It aims to detect parking violation and provide spatial decision support on parking management
Enabling the personalization of Venclexta treatment towards increased quality of life.
Non-datascientists users can now train machine learning models by simply asking their robot to do it for them
The system develops a proprietary data pipeline to provide investors well-informed calculations of long-term dividend payout of S&P500 firms, with ML algorithms training on historical financial data.
Increasing utilisation of meeting rooms with dynamic pricing based on demand. Users can buy and sell bookings even at short notice, allowing groups with flexibility to take advantage of lower pricing.
Quickly reading handwritten numbers from medical grids
Optical Character Recognition for Digitizing Health Records
Detection of the actual position of anomaly in a CCMS monitored street light setting with forecasting and taking preemptive measures against the complaints.
Keeping track of Street Lights using Arduino with a nodeMCU and A predictive complaint handling system which automatically contacts the engineer before fault.
An end-to-end Machine Learning system to reduce workplace energy inefficiency
A Smart Light Monitoring System
Data Driven Classification and Predictive modelling of faulty streetlights.
MCR is a crowdsourced machine learning based program that tracks missing persons in CCTV footage by analyzing their movement, checking for possible abductors, and mapping a predicted search area.
