๐ I am Samriddhi, a sophomore at Nanyang Technological University, NTU
๐ฅComputer Science Major and Business Minor
๐ซ Estimating the Hubble constant using Bayesian statistics and Markov Chain Monte Carlo algorithm-https://ijaem.net/issue_dcp/Estimating%20the%20value%20of%20H0%20by%20using%20Type1A%20Supernovae%20and%20Bayesian%20statistics%20to%20a%20precision%20of%202.1.pdf
- Using GPT 3.5 to detect yoga asanas and booking appointments using AI on Azure Cloud- https://github.com/Samsriddhi/ZenFlo
- Detecting yoga asanas and booking appointments using AI on Azure Cloud- https://github.com/Samsriddhi/ZenFlo
- Recognise and detect faces out of images- https://github.com/Samsriddhi/Face-Detection-and-Recognition
- Calculating the traffic probability in New York City- https://github.com/Samsriddhi/NYC-Traffic-Analysis
- Analysis of the Cataract Surgeries in India- https://github.com/Samsriddhi/Cataract-Modelling/tree/main
- Solving Sudoku using BFS, DFS, Backtracking, UCS, Greedy, A Star : https://github.com/Samsriddhi/Sudoku-Solver-python-BFS-and-Backtracking-
- Credit Card Fraud Detection ROC-AUC .98 Using Undersampling and Oversampling (SMOTE), Logistical Regression (comparitive analysis of SVC, Tree, KNN ) evaluated using Grid Search CV : https://github.com/Samsriddhi/creditcard-fraud-detection
- A web-app to detect and identify faces out of an image/video: https://github.com/Samsriddhi/Web-App-for-Face-Detection-and-Recognition-
- Creating a FastAPI webapp to predict yogasanas- https://github.com/Samsriddhi/ZenFlo
- Using tkinter to visualise sudoku for BFS and Backtracking to solve sudoku: https://github.com/Samsriddhi/Sudoku-Solver-python-BFS-and-Backtracking-
- OOP in C: N-Queens problem with UI in C using backtracking and heuristics: https://github.com/Samsriddhi/NQueens/tree/main
- Solving Sudoku using BFS, DFS, Backtracking, UCS, Greedy, A Star : https://github.com/Samsriddhi/Sudoku-Solver-python-BFS-and-Backtracking-
- Estimated the Hubble Constant using Bayesian Statistics and MCMC algorithm- https://github.com/Samsriddhi/Hubble 3.Comparing rsampling(Near Miss, Undersampling, Oversampling) and classifiers for binary classification data in Credit Card Fraud Detection ROC-AUC .98 Using Undersampling and Oversampling (SMOTE), Logistical Regression (comparitive analysis of SVC, Tree, KNN ) evaluated using Grid Search CV : https://github.com/Samsriddhi/creditcard-fraud-detection
- N-Queens problem with UI in C using backtracking and heuristics: https://github.com/Samsriddhi/NQueens/tree/main