Shourya Rakesh Dwivedi

Motivated and detail-oriented graduate with a strong foundation in Computer Science and a keen interest in academic research. Experienced in literature review, data analysis, and technical writing through coursework, research paper and articles and projects. Seeking a research assistant or academic role to contribute to the study of Computer Sciences.

• Published chapter on Social Determinants Affecting Human Behaviour Using AI, May 2024, Nova Publishers, New York, USA, DOI :10.52305/OZSA0684.
• Published two books based on Hindu Mythology and Epic -
  Flipkart (ISBN :9789362631237), Flipkart (ISBN:9789362636232) & Amazon (ISBN-13 : 978-9362631237) and
  Google Play Books, Amazon (ISBN:10 - 9362636239), Google Play Books. Respectively.
• Volunteered as Brand Executive in Teachnook, Bengaluru, India.
• Published research paper based on -
  1. Cosmic predictor in IC RACT Springer conference.
  2. Cyber physical system using AI in HTL journal ISSN No. 1006 6748, Impact Factor - 5.6

1.Heart disease Prediction model – Developed a Heart Prediction model using Adaptive Neuro-Fuzzy Inference System (ANFIS), showcasing advanced expertise in machine learning and healthcare analytics.

2.Cosmic Predictor – Pioneered a Cosmic Predictor leveraging Random Forest and Hist Gradient Regression, showcasing expertise in space weather forecasting, space operations, magnetosphere monitoring, Radiation harrasment assessment.

3. Astro Oracle – Developed asteroid path prediction model using Machine Learning Algorithms by using CNN, FNN, RNN, LSTM, GRU for calculation of F1 Score, Accuracy, Precision, Loss and Eroor. This project keens to help in track asteroid path and trajectories.,

4. NeuroXG fire forecast – The NeuroXG Fire ForeCast project represents a significant advancement in the field of forest fire prediction by integrating Neural Networks (NNs) and XGBoost, leveraging their respective strengths to enhance accuracy and reliability in forecasting wildfire occurrences.

5. Anjay Flex - The project utilizes AI models for real-time threat detection, surveillance, and automated defense response. It likely integrates computer vision and machine learning algorithms to analyze inputs, identify risks, and trigger actions.

6. NeuroTechMedPy - This project introduces a comprehensive system that integrates an EEG-based Brain–Computer Interface for classifying motor imagery with a module for predicting Parkinson’s disease.

• Date of Birth: 23/12/2002
• Gender: Male