Building MessageMe™- Consent based enterprise Messaging 🚀

Kanak Kawadiwale • Peerlist

The model is being built as a Convolutional Neural Network. Cross Entropy and Relu activation function has been used to classify the digits in the dataset. Gained 96% accuracy for the same using Tensorflow deep learning framework.

Digit classification on MNIST Dataset using Tensorflow

A smart system to detect and differentiate between the real time fake and live image for Security Surveillance. Features are being extracted and then Model is being trained to recognize and classify the image. 


Face liveness Detection using OpenCV & ML

Training a object recognition model using Tensorflow lite keras framework for android application. 

Object detection and recognition using Tensorflow Lite on An

Camouflage is the attempt to hide the image with the matching background to bypass the detection of object. This project basically focuses on developing an Computer Vision algorithm to enhance the foreground object detection  hidden in the background image. Scope of this project is majorly  in Security Surveillance. 

Object Detection in Camouflage Image/Video using GLCM featur

Smart India Hackathon Award 2018.
A client Server based secured communication between the top officials of Defence Ministry of India.
The project has been developed in the concern of increasing Cyber Attacks over Network.

Secured Group Messaging Solution 

Spam mails have been the most annoying thing always.
This project aims to identify and detect the spam using Machine Learning techniques & help get rid of it by analyzing the mail contents in it.
The project uses Naive Bayes Algorithm using Conditional probability to help identify & further classify.

Span Mail classification using Naive Bayes.

Building use cases on Supply Chain Management Using Machine Learning techniques to help the business Grow using rubics.io Platform.
1. Price Prediction
2. Vendor Selection
3. Demand Forecasting

Supply Chain Management using Machine Learning

Visibility assistance for Drivers to enhance visibility in adverse climatic conditions to avoid any accidents.
In this project i have used Dark prior algorithm to enhance the frames in video and make its visibility stronger.