ABHISEK KAYASTHA

Motivated and goal-driven computer science graduate, currently pursuing an M.Tech with a specialization in Artificial Intelligence and Machine Learning. Possesses a strong foundation in software engineering principles, data structures, and problem-solving, with a strong interest in building efficient and reliable solutions. Eager to begin a career in the software engineering domain, where analytical thinking, technical skills, and a willingness to learn can contribute meaningfully to team success and organizational growth.

• "Corn Crop Disease Prediction Using SWIN Transformer" ,

INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENT IN ARTIFICIAL INTELLIGENCE & SOFT COMPUTING - ICAISC

• Deepfake Detection

Worked on deepfake detection using deep learning techniques to identify manipulated media with high accuracy.

• Movie Recommendation System

Built a movie recommendation system that gives personalized suggestions using content-based filtering and NLP.

• Cryptocurrency price prediction

Developed cryptocurrency price prediction models using time-series analysis and deep learning (LSTM/RNN).

• Corn crop disease prediction using SWIN transformer

Developed a deep learning model using Swin Transformer and BiLSTM to detect corn crop diseases with 98% accuracy, supporting early diagnosis and improved crop yield.