I build AI
My Projects
AnimalVision-DirectML
The Animal Image Classification Project leverages PyTorch for its deep learning framework, utilizing the DirectML backend to optimize performance across various hardware AMD Devices. This project aims to accurately classify images of different animal species using a ResNet50 Model. This project serves as an excellent example using AMD devices for deep learning purpose, dedicated to Windows users.
TryMLEasy
Built with Streamlit, it provides a user-friendly GUI that allows users to apply various ML models, preprocessing techniques, and neural networks to their datasets without any coding. The app supports a range of features including:
1. Preprocessing techniques: Standard Scaler, MinMax Scaler, Robust Scaler, and Normalization.
2. Decomposition techniques: PCA, kPCA, and FastICA.
3. Traditional ML models: Logistic Regression, Decision Tree Classifier, Gaussian Naive Bayes, and more.
4. Neural Networks: Customizable layers, activation functions, and training parameters.
The project aims to make machine learning accessible to everyone, even those without programming skills.
Skills
Tech Stack
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Python 
AI/ML
Computer Vision
Generative AI
MLOps
GCP/Azure Cloud
Research & Development
Natural Language Processing
Adobe Photoshop & Illustrator
Certificates
Building Generative AI Skills for Developer
Learning about new AI tools and frameworks that empower developers to build faster and more easily, and with the power of AI.
Machine Learning Engineer Learning Path
Set of 14 on-demand courses, labs, and skill badges that provide real-world, hands-on experience of using Google Cloud technologies essential to the ML Engineer role
Natural Language Processing with Probabilistic Models
Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words.
Natural Language Processing with Classification and Vector Spaces
Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words.
Data Structures and Algorithms
Course about various data structures like arrays, linked lists, stacks, queues, trees, and graphs. Also includes important algorithms such as sorting, searching, and hashing.
Medium Articles
Publications
CNN-FastText Multi-Input (CFMI) Neural Networks for Social Media Clickbait Classification
[ DOI: 10.2174/0126662558283914231221065437 ]
[ Published on : 25 January, 2024 ]
[ Authors : Chirag Sharma, Gurneet Singh, Pratibha Singh Muttum and Shubham Mahajan ]
The article discusses a new method called CNN-FastText Multi-Input (CFMI) Neural Networks designed to identify clickbait in social media content. This approach combines a convolutional model with various video metadata to improve accuracy in detecting misleading content