Publications
Recognizing low quality vehicle license plates using image based sequence recognition
- S. Pal and P. P. Shete 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kanpur, India
- IEEE Xplore Library Link
Projects
Interview Management System
- Developed a web based application using Spring Boot with features of posting jobs, applying to job, scheduling interviews, and sending automatic emails wherever required.
- Tools: Java, Spring Boot, PostGreSQL, Jpa, Thymeleaf.
OSM Route Planner (OpenStreetMap)
- Built a Route planner in CPP that plots a path between two Cities on a map using A* Search Algorithm.
- Used Real Map Data (OSM XML file) from the OpenStreetMap Project.
- GitHub Link
- Tools: C++, Graph Algorithms
IMAGE SUPER RESOLUTION
- Designed a CNN based model which reconstructs high resolution images from the low resolution images.
- Created a three layer model comprising of Feature Extraction, Multidimensional Mapping and Image Reconstruction phase.
- Used T91, Set5, Set15 and Real life image dataset for performance evaluation.
- Tools: Python, Deep Learning, OpenCV
Neural Machine Translation with Attention
- Translated Human-Readable dates into Machine-Readable dates.
- Implemented One of The Most Sophisticated Sequence to Sequence Attention Model.
- Tools: Python, Deep Learning
Digital Data Encoder
- Encoded Binary Data into Digital Signals.
- Implemented Line coding (NRZ-L, NRZ-I, Manchester, Differential Manchester, AMI) encoder and scrambler (B8ZS, HDB3) with Random digital data generator.
- GitHub Project Link
- Tools: Python
TEXT EDITOR
- Designed Text Editor using Two Stack Model.
- Tools: C++
Certification/ Online Courses
Deep Learning Specialization: deeplearning.ai
The Deep Learning Specialization is taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera. It Comprises of Following Five Courses.
- Neural Networks and Deep Learning.
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization.
- Structuring Machine Learning Projects.
- Convolutional Neural Networks.
- Sequence Models.
Certificate Link: Click Here
IITBombayX CS101.2x: Object-Oriented Programming
Topics Included:
- Introduction to Object Oriented Programming
- Classes and Methods
- Polymorphism
- Inheritance
- Standard Library of C++
Certificate Link: Click Here
Deep Learning: Advanced NLP and RNNs
Natural Language Processing with Sequence-to-Sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!
Certificate Link: Click Here
Python for Data Science and Machine Learning Bootcamp: Udemy
NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow.
Certificate Link: Click Here
Machine Learning By Stanford University: Coursera
This Course Provides a Broad Introduction to Machine Learning, Data Mining, and Statistical Pattern Recognition. Topics Include:
- Supervised Learning (Parametric/Non-Parametric Algorithms, Support Vector Machines, Kernels, Neural Networks).
- Unsupervised Learning (Clustering, Dimensionality Reduction, Recommender Systems, Deep Learning).
- Best Practices in Machine Learning (Bias/Variance Theory; Innovation Process in Machine Learning and AI).
Certificate Link: Click Here