Areas of Interest

Computer Vision, Generative AI, Large Language Model, Deep Learning, Machine Learning, Internet of Things (IoT), Smart Manufacturing – Predictive Maintenance.

About me

I am a Computer Science graduate with expertise in Machine Learning and Deep Learning, dedicated to developing solutions for Manufacturing challenges. My technical experiences include working with NLP models, Computer vision application and Recommendation systems. I am passionate to work on Generative AI, LLM’s and IoT technologies to create predictive maintenance systems.

Projects

Exploratory Data Analysis on Haeberman dataset, Implemented TFIDF vectorizer, Recommendation System using truncated SVD SGD algorithm to predict ratings, Microsoft Malware Detection, Document classification using CNN, Product review classification using Pre trained BERT model, Predicting Funding Success on DonorsChoose.org dataset using various machine learning and deep learning technique.

Publications

1. Sardar, A. S., & Ranjan, V. (2023, November).

Enhancing computer vision performance: A hybrid deep learning approach with CNNs and vision transformers. International Conference on Computer Vision and Image Processing (pp. 591-602).

Cham: Springer Nature Switzerland.

2. Tiwari, N., & Sardar, A. S. (2017). Advancement in Reversible Data Hiding Techniques. International Journal of Computer Science and Network Security, 17(3).

Contact

abhas@iisc.ac.in

abha.pratiti27@gmail.com

9717270367