Aayush Shukla

Currently a 3rd Year B Tech Student in Computer Science.A quick learner with an enthusiasm for learning. Avid interest in AI/ML. A penchant for problem-solving.

1) Chest X-Ray Disease Classification Using CNN-

This project made use of Computer Vision and CNNs to determine whether a certain X-ray scan has a disease or not. Two approaches were applied to train the model- one where the CNN model was designed from scratch and in the other Transfer Learning was employed.

2)Academic Paper on Transformers(Transformers: Decoding the Power of Attention in AI)-

This paper aims to approach and understand the Attention mechanism and the Transformers deep-learning architecture which was the basis of Generative Pre-Trained Transformers or GPTs. It includes a deep-dive into its architecture with a goal to further optimize its implementation by developing or improving existing algorithms.

(Working on this Semester)

3)Plant/Crop Disease Classification Multi-modal Learning(Computer Vision+NLP)-(Group Project)

This employs Multi-modal learning to corroborate the results of classification of various diseases in plants from a CNN based model, which takes image input and an NLP text based model for improved performance. Role:- Model Design and Model Implementation

4) White Paper+Project on Affect of Substitutions in a game of Football using ML-(Group Project)

This project aims to analyze the effect of substitutions and the impact they end up having on the overall outcome of the game based on the player, time of substitution and the importance of the game played. We plan to use different learning algorithms for the same and publish our results in a white paper(Working on this Semester). Role- Model Implementation and Paper Documentation

Other Smaller Projects-

• Telecom Customer Churn Data Analysis and Predictions
• IPL Data Analysis
• OOP Focused Library Management System
• Several simple games like TicTacToe/Pong/Snake/Connect 4 in Python