Name: Sneha Rao
Type: User
Company: National Institute of Technology, Tiruchirappalli
Bio: 4th yr Computer Science and Engineering Major. Machine Learning, Computer Vision and App Dev Enthusiast. I enjoy experimenting with various domains of CS!
Blog: www.linkedin.com/in/sneha-rao-ganta
Sneha Rao's Projects
Static and Dynamic Analysis of android malware using various different machine learning algorithms
Creating simple and cute art using purely CSS
Deep Learning Specialization by Andrew Ng on Coursera.
Spatiotemporal Depth Estimation using Monocular Cameras using Kitty Dataset.
A Face Mask Detector created using features from TensorFlow, OpenCV, Keras, and MobileNets on real video streams. This model could be used in real-time applications during the pandemic as well.
Gender Classification using different algorithms for classification i.e K Nearest Neighbor, Naive Bayes, Decision Tree, Random Forest, XgBoost, Support Vector Machine and Neural Network i.e. MLP classifier to generate results.
Samples for Intel oneAPI toolkits
Use of data mining concepts and python data science libraries for simple demonstration to analyse and classify personalities of a given set of people or an individual.
Recipe Generator: RNN Models used to train the dataset to learn basics concepts of english and generate different parts of a recipe.
The repository for the initial task of the Spider Orientation Programme (SOP)
A titanic passenger survival dataset is analyzed and trained using Tensorflow
FFmpeg is a powerful multimedia framework which allows us to decode, encode, transcode, stream, filter and play most of the media content available now. With the help of these tools, you can develop and application that can manipulate any form of media to the desired output. Sky is not the limit when using FFmpeg. I prefer FFmpeg-all which is a Bible for FFmpeg but it is difficult to read if you do not know what you are looking for. To make it easy, I will summarise the basics of video manipulations using FFmpeg which, then you can use in your own applications or libraries that you are working on. I have developed a simple library that enables you to trim and crop a video, additionally you can compress any video and convert it into any format that you desire.
Sticker making Android App built in Android Studio using Kotlin.