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Ritesh Yadav  • Peerlist

Used Hugging Face Transformer library DistillBERT(Bidirectional Encoder Representation of Transformer) to do a task of Q/A, the model is fine-tuned over some daily conversational samples and it is already trained over SQUAD Dataset.

Question Answering using DistillBERT

Used State of Art Object Detection Model's to detect wheat head in the field. This Project is tested over two State of the Art models Faster-RCNN and YoloV4 and received great results on YoloV4

Wheat Head Detection using YoloV4 and Faster-RCNN

Video Captioning is an encoder-decoder model based on sequence to sequence learning. It takes a video as input and generates a caption describing the event in the video.
The importance of captioning lies in its ability to make the video mor

Vedio Captioning Using LSTM

MegatronBot is a fully fleged chatbot with easy to update, integrate with website, easy to deploy in any cloud services like AWS, GCP and azure with a capibility to work in production enviorment.Megatron accepts various formats of inputs yo