likhitha-dhanaraju

3D_voxels

Development and optimization of deep learning models centered around object recognition of 3D CAD assembly models.

Augmented_Reality

Designing web based augmented reality using AR.js and A-frame. The objective was to replicate features of ARCore apps on WebAR which can be compatible with any device.

churn-prediction

Customer churn prediction for the next sale season for a major French retail brand

Densification-of-point-cloud

Parsing the neutral files of the parts(OBJ) as well as assemblies(VRML, AMF) of CAD models, densifying the data points and convert to the data required by the model.

e-commerce_ai

Data Collection and development of Image Captioning model and Product Similarity algorithm.

manufacturing_fault_detection

Universal model for the detection of faults of various manufacturing defect datasets irrespective of the nature of the defects or the products and to develop a streamlined process for preprocessing and training the model for any dataset

Neural_style_transfer

Using one image to reflect its artistic style on the contents of the frames in the video stream. Implemented in Python using a pretrained Squeezenet model as a feature extractor.

Object_tracker

Tracking of a single object or multiple objects in a video using Optical Flow, Mean Shift, Cam Shift, and various other functions of OpenCV. Implemented using Python.

retail-checkout

Using real-time object detection and identification of the items at the time of checkout, the bill is generated instantaneously even when a large number of items are to be identified. Implemented using Faster R-CNN model with FAIR’s detectron2 using the RPC dataset. Deployed the model in AWS.

Shelf-space-optimisation

Identification of empty spaces in images and videos of shelves in supermarkets. The label of the missing item is also reported back to the client.

likhitha-dhanaraju/retail-checkout

Using real-time object detection and identification of the items at the time of checkout, the bill is generated instantaneously even when a large number of items are to be identified. Implemented using Faster R-CNN model with FAIR’s detectron2 using the RPC dataset. Deployed the model in AWS.

likhitha-dhanaraju/3D_voxels

Development and optimization of deep learning models centered around object recognition of 3D CAD assembly models.

likhitha-dhanaraju/Neural_style_transfer

Using one image to reflect its artistic style on the contents of the frames in the video stream. Implemented in Python using a pretrained Squeezenet model as a feature extractor.

likhitha-dhanaraju/Densification-of-point-cloud

Parsing the neutral files of the parts(OBJ) as well as assemblies(VRML, AMF) of CAD models, densifying the data points and convert to the data required by the model.

likhitha-dhanaraju/e-commerce_ai

Data Collection and development of Image Captioning model and Product Similarity algorithm.

likhitha-dhanaraju/manufacturing_fault_detection

Universal model for the detection of faults of various manufacturing defect datasets irrespective of the nature of the defects or the products and to develop a streamlined process for preprocessing and training the model for any dataset

likhitha-dhanaraju/Object_tracker

Tracking of a single object or multiple objects in a video using Optical Flow, Mean Shift, Cam Shift, and various other functions of OpenCV. Implemented using Python.

likhitha-dhanaraju/Shelf-space-optimisation

Identification of empty spaces in images and videos of shelves in supermarkets. The label of the missing item is also reported back to the client.

likhitha-dhanaraju/Augmented_Reality

Designing web based augmented reality using AR.js and A-frame. The objective was to replicate features of ARCore apps on WebAR which can be compatible with any device.

likhitha-dhanaraju/churn-prediction

Customer churn prediction for the next sale season for a major French retail brand

likhitha-dhanaraju/chat-gpt-sentiment-analysis

This repository contains a sentiment analysis project examining public attitudes towards large language models before and after the launch of ChatGPT, including research findings and associated codebase. Explore shifts in sentiment, prevalent topics, and limitations within the AI discourse.

likhitha-dhanaraju/CIFAR

Simple implementation of CNN on CIFAR data.

likhitha-dhanaraju/dexter-health-tech-assignment

likhitha-dhanaraju/financial_dashboard

likhitha-dhanaraju/likhitha-dhanaraju

likhitha-dhanaraju/likhitha-dhanaraju.github.io

likhitha-dhanaraju/object_detection

Module files for training Faster RCNN model

likhitha-dhanaraju/offnote_labs

likhitha-dhanaraju/PoissonRecon_pre

Pre-processing files for using Poisson Recon for surface reconstruction. Input - OBJ files.

likhitha-dhanaraju/smart-assist-chatbot

SmartAssist: An intelligent chatbot enhancing e-commerce shopping experiences by integrating advanced image-to-text, text QnA, and customer opinion mining models.

likhitha-dhanaraju/time-series

Time-series prediction of data using ANN and ARIMA