Ayush Kushwah

Conducted research on water quality prediction using LSTM and EEMD. Achieved high R-squared and NSE values, demonstrating effective forecasting capabilities.

Developed an OCR solution for extracting text from medical reports and prescriptions. Utilized Pytesseract and MMOCR framework, achieving significant improvements in text detection and recognition accuracy.

Worked on probabilistic time series forecasting using Lag-Llama. Processed multi-time-series datasets and benchmarked model performance, achieving a MAPE of less than 23%.

Conducted sentiment analysis on stock data using various machine learning models, achieving high accuracy with LSTM and SVM.

Worked on a driver behavior tracking system, classifying driver gaze in real-time using L2CS-Net and various classification models, achieving over 95% accuracy.

Developed an image captioning model using ViT and GPT-2. Focused on data preprocessing and feature extraction to optimize model performance.

Grade: 7.202

Activities and societies: Joint Secretary of Airsoc, IIT Roorkee; led UAV projects and participated in various competitions.

Pursuing a Bachelor of Technology in Civil Engineering with a focus on Machine Learning, Deep Learning, Computer Vision, and NLP. Achieved a CGPA of 7.202.

Grade: 84.40%

Completed Intermediate (Class XII) with a focus on science subjects, achieving a percentage of 84.40%.

Grade: 94.80%

Completed Matriculation (Class X) with a strong academic performance, achieving a percentage of 94.80%.