Ishav Verma | Portfolio

About Me

Who am i?

I'm Ishav Verma

As an aspiring computer science & engineering student with a keen interest in machine learning, data science, and blockchain technology, I am excited to share my skills and knowledge with the public. Through my coursework, personal projects, and self-study, I have gained a solid understanding of the latest industry trends and cutting-edge technologies in these areas. I am well-versed in various programming languages and tools that are commonly used in these fields, such as Python, TensorFlow, RPA and others. I have had hands-on experience with several projects and experiments, ranging from supervised and unsupervised learning, deep learning and reinforcement learning, computer vision, natural language processing, and others. These projects have helped me to apply my knowledge in practical scenarios and have given me the ability to work with large datasets and complex models.

I am eager to share my knowledge and enthusiasm for these fields through my portfolio, blog, and other public platforms, where I share my learning and projects with others. I believe that by sharing my experience and knowledge, I can inspire others to learn more about these fascinating technologies and how they can be used to drive innovation and make a positive impact on the world. I am also open to mentoring on projects and taking sessions on Machine Learning/Deep Learning & Blockchain, to share my knowledge with others and help them to develop their skills in these areas. I am passionate about helping others to learn and grow in these fields and I would be excited to work with individuals or groups to guide them through their own projects and experiments. I am always looking for opportunities to collaborate and contribute to projects, research, or open-source projects in these fields and to be a part of the community that is constantly pushing the boundaries of what is possible with these technologies.

Name:

Ishav Verma

Email:

ishavverma03@gmail.com

Age:

From:

Jammu, India

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Languages

English

Hindi

Research Interests

Computer Vision

Data Analysis

Robotic Process Automation

Machine Learning

Blockchain

Natural Language Processing

Human Voice Tone Emotion Detection

Ishav Verma(Deep Learning Module developed at SIH 2022)
Github Repository

In this project, I applied deep learning techniques to detect emotions in human voices. The goal was to build a model that can accurately classify emotions such as happiness, sadness, anger, and neutral based on the tone of a person's voice. The model was trained on a dataset of voice recordings labeled with the corresponding emotions. I used a combination of techniques such as feature extraction, dimensionality reduction, and neural network architectures such as CNNs and RNNs to analyze the audio data and make predictions. Additionally, I also explored different pre-processing techniques to improve the performance of the model. The model was tested on a separate dataset and the results were evaluated using metrics such as accuracy, precision, and recall.

One of the interesting aspects of this project was the experimentation with the different architectures of neural networks, and the impact of pre-processing techniques on the final outcome. It was developed as a part of my participation in the Smart India Hackathon (SIH) 2022, where we won the competition in our category.

This project has potential applications in the field of emotion detection and speech recognition for various industries such as customer service, mental health, and more. It was a great opportunity for me to learn and implement various techniques of deep learning, and I believe that this project showcases my abilities to work on such projects and my knowledge in the field of machine learning.

TB Detection using X-Ray

Ishav Verma(Deep Learning Model based on Computer Vision)
Github Repository

In this project, I used deep learning techniques to develop a model that can detect Tuberculosis (TB) in patients using X-ray images. The model was trained on a dataset of labeled X-ray images, and it uses a combination of techniques such as image pre-processing, feature extraction and neural network architectures like CNNs to analyze and classify the images. The model was tested on a separate dataset and the performance was evaluated using metrics like accuracy, precision and recall.

The challenging aspect of this project was the handling of medical images and the pre-processing techniques required for them, but it was also a great learning experience for me.

This model has potential applications in the field of medical imaging and TB detection, as it can be used as an efficient and accurate tool for early diagnosis of TB. This project allowed me to learn and implement various techniques of deep learning and it showcases my abilities to work on such projects and my knowledge in the field of medical imaging and machine learning.

Brain Tumor Detection & Classification

Ishav Verma(Deep Learning Model based on Computer Vision)
Github Repository

In this project, I applied advanced techniques of computer vision and deep learning to develop two separate models, one for the detection of brain tumors and another for the classification of tumors as Meningioma, Glioma & Pituitary tumor. The goal was to build models that can accurately locate and identify tumors in magnetic resonance imaging (MRI) scans. To achieve this, I utilized a dataset of labeled MRI scans to train the models. For the detection model, I implemented a combination of image pre-processing, feature extraction and neural network architectures such as CNNs to analyze the scans and make predictions about the presence of tumors. For the classification model, I used similar techniques to analyze the scans and predict whether the tumors are benign or malignant. Both models were tested on a separate dataset and the results were evaluated using metrics such as accuracy, precision, and recall.

The most challenging part of this project was the handling of medical images, as it required a lot of pre-processing and cleaning of the data. Despite the challenges, it was a great learning experience for me as I was able to apply various techniques of deep learning, computer vision and medical imaging.

The models developed in this project have the potential to revolutionize the way brain tumors are diagnosed and treated. They can be used as efficient and accurate tools for early diagnosis of brain tumors, which can lead to better treatment outcomes and improved patient outcomes. I believe this project showcases my abilities to work on such projects and my knowledge in the field of medical imaging and machine learning.

Spam Mail Detection

Ishav Verma(Machine Learning Model based on Natural Language Processing)
Github Repository

In this project, I applied machine learning and natural language processing techniques to develop a model for detecting spam emails. The goal was to build a model that can accurately classify emails as spam or non-spam based on their content. The model was trained on a dataset of emails labeled as spam or non-spam. I used a combination of techniques such as feature extraction, text cleaning, and various machine learning algorithms like Naive Bayes, SVM, and Logistic Regression to analyze the email text and make predictions.

The challenging parts of this project was the handling of unstructured data, but it was also a great learning experience for me. Additionally, I also implemented techniques like feature selection and hyperparameter tuning to improve the performance of the model.

This project has potential applications in the field of email filtering and spam detection, where it can be used as an efficient and accurate tool to separate important emails from spam. It was a great opportunity for me to learn and implement various techniques of natural language processing and machine learning, and I believe that this project showcases my abilities to work on such projects and my knowledge in the field of NLP and ML.

Learning & Training Resources

Machine Learning Notebooks

Ishav Verma(24-Hour AI/ML Training)
Github Repository Course Curriculum

I am excited to share with you the resources and learning materials I have created to help individuals and organizations master the art of Machine Learning. I have been working in the field of Machine Learning throughout my engineering degree, and I believe that the best way to learn is through practical application. That's why I have developed a comprehensive 24-hour course that covers the entire machine learning process, from data pre-processing to model deployment.

My course is designed for individuals and organizations who want to take their understanding of Machine Learning to the next level. I cover the most important concepts and techniques used in the field today, and I provide hands-on coding tutorials and exercises to help you apply what you've learned.

In addition to my course, I also provide a GitHub repository, that cover various Machine Learning topics & I keep it updating for new models & improving model efficiency. I also offer mentoring and consultation services to help you implement Machine Learning projects. I am also open for collaboration on projects and delivering the Machine Learning course on site or online. I am passionate about helping others learn and apply Machine Learning, and I believe that by working together, we can achieve great results.

Ishav
Verma

Computer Science EngineerArtificial Intelligence ResearcherAspirant Data ScientistTech Instructor: AI-ML & BlockchainFreelance Software Engineer & Consultant

Bachelor's Degree

High School

Additional Courses

IshavVerma

Computer Science EngineerArtificial Intelligence ResearcherAspirant Data ScientistTech Instructor: AI-ML & BlockchainFreelance Software Engineer & Consultant

About Me

Who am i?

I'm Ishav Verma

Languages

Research Interests

Achievements

Education

Bachelor's Degree

High School

Additional Courses

Projects

Human Voice Tone Emotion Detection

TB Detection using X-Ray

Brain Tumor Detection & Classification

Spam Mail Detection

Learning & Training Resources

Machine Learning Notebooks

Thank you for visiting my portfolio and I look forward to the opportunity of working with you!

Sessions

Introduction to Machine Learning

Introduction to Blockchain

Ishav
Verma