Hardik Srivastava's Projects
This is an AI-powered advertisement platform that performs Face Detection using Haar Cascade Frontal Face and Wide ResNet to detect your age and gender via an external camera and then show you video advertisements related to the products that suit your corresponding age and gender in real-time.
Automated Driver Drowsiness Control Technology Using Artificial Intelligence-based Decision Support System using Google Vision API.
Material Design based BMI Calculator
AI powered Child Grievance Prioritization using a Decision support grievance redressal system using sentence sentiment analysis
AI-powered telemedicine app that reduces the hassle of offline appointments by bridging the gap between the doctor and patient by transforming the entire appointment lifecycle online.
A customer segmentation analysis on a dataset provided by kaggle to segment customers based upon their labelled behavior.
Mini-Project submission for Hardik Srivastava (RA1911027010021) and Snehith Reddy Kondakalla (RA1911027010055)
Automatic Screening and Staging of Multi-Stage Diabetic Retinopathy using Deep Learning techniques
A diet management app with an activity tracker, diet recommendation and an image classification model to tell your dishes' nutrient content.
Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and ISRO, this project incorporates instance segmentation of substations using UNet, Albumentations for image augmentation, and OpenCV for computer vision tasks.
A restaurant searching app with segregation upon the searched dishes and full details of the requested restaurants.
Food On is an end-to-end food ordering application with real-time inventory management serving three different dashboards, one for the user, one for the chef, and another for the delivery executive. Deployed using Firebase, this app also comes with in-built cloud functions for an effective user experience.
This project incorporates Hierarchical document clustering of the Kaggle forum posts using data from Meta Kaggle. Includes fine-tuned vectors using GoogleNews embeddings.
In this project, we detect lanes in images and videos for autonomous vehicles using computer vision.
This is a repository containing the list of company wise questions available on leetcode premium
Realtime Location Tracker is an application where you can see your current location and save your traversed path between any 2 points on a map. It can be used for reference in the future if you wish to locate the way on a google map to a place you already visited before.
A malaria detection web application built using deep neural networks.
Memorable Places lets you save all your memorable places that you might wish to visit again on a google map and lets you access them later using a simple and materialistic user interface developed on android.
This is an NLP pipeline that performs neural machine translation using Encoder-Decoder architecture to translate text from the English language to the Hindi language. Deployed using TensorFlow.js in a mobile application, the pipeline can be expanded to include translation amongst multiple languages.
A health management app which keeps tracks of your daily diet where a user can add meals which he consumes daily in accordance to the calories that he wishes to burn. Nutrical comes with a workout manager where a user can burn the excess fat and keep track of his health. It also comes with all the features of an activity tracker.
ODIN-AI or Object detection and identification ai is a flutter based mobile application that can detect up-to 9 objects in the camera and assign them with their predicted labels. The deep learning technique used is transfer learning using OpenCV and the SSD MobileNet model.