Internships
Technology Domains: Software Development, Data Science, Machine Learning, Deep Learning, Blockchain, Web Development
Disciplines: Healthcare, Society, Supply Chain and Logistics, Crime, Nature, Differently Abled, Cosmetics
Tech Stack: HTML, JavaScript, CSS, Boostrap, Materialize CSS, Python, Flask, Numpy, Pandas, Seaborn, Matplotlib, MySQL, MongoDB, DynamoDB, SQLite, Angular JS, Solidity, Web3, Sklearn, Keras, Tensorflow, Sensors, Arduino, IBM Cloud, Google Cloud Vision, Spacy,
fastai, Plotly, Chart.js
1Martianway
Mentor: Mr Karan Kamdar, CEO 1MW, Stanford
Nov 19' - May 20'
❝ Detection and Calculation of Cement Bags in a Warehouse with Object Detection❞
Extracting frames from video as .jpeg images by adjusting the fps.
Adjusting the image resolution as a part of data cleaning and data preprocessing
Labeling all the images for cement bag detection using the LabelImg tool
Converting the input images in the dataset to appropriate PASCAL/VOC
Format for object detection.An XML parser script was written for verification
Generating .tiff records and splitting the data into training set and testing set
Using Faster_RCNN_Inception_V2 model for configuring the hyperparameters during model training
Achieved an accuracy of over 98%
Deployed the model on Flask and tested the model using Tensorflow
Hyperparameter tuning for optimized results
The model was tested over a private network and the User Interface was designed using Materialize CSS
SOFTWARE DEVELOPMENT INTERN
LEADINGINDIA.AI
Mentors: Dr. Manoj Sharma, PhD IIT, Dr Madhushi Verma, PhD IIT
May 20' - Jul 20'
COMPUTER VISION INTERN
❝ Lung disease Classification, Segmentation and Quantification with Explainable AI ❞
Synthetic Image Generation using DGCANs whilst improving its quality with Image Super-Resolution with RRDN
Multiclass Image Classifier for classifying Chest X-Ray Images into Normal, COVID-19, and PNEUMONIA with an accuracy of 98.2% with DenseNet121, achieving a 3% increase in accuracy after data augmentation.
Implemented Cyclic learning Rate for optimization and GradCAMs for visualization of the affected area
SOFTWARE DEVELOPMENT INTERN
Technojack Infosolutons
Mentor: Mr Yogesh Jadhav, Professor Amity University
❝Medication Adherence Monitoring with Tracking Automation and Emergency Assistance❞
Implemented OCR System for detection of drugs and it’s dosing from doctor’s handwritten prescriptions
Detection of text in images using OpenCV and EAST Text Detector.
Worked on Google Cloud Vision API for text recognition and detection
Web Scraping the drug names of over 60,000 medicines from mims.com and medindia.com
TAKENMIND
TakenMind's Global Internship Programme ( Recognized by United Nations )
Sept 19' - Oct 19'
DATA SCIENCE INTERN
❝ Employee Attrition Problem ❞
Conducted various statistical tests like correlation, covariance,p-test,z-test, etc
Data Visualization through Bar Graphs, Heatmaps, Scatter Plots, Histograms, Pie Charts
Data profiling and Implemented data cleaning techniques for filling missing values and removing redundant data
