Trishit Haldar

• Data Structures
• Data Mining
• Algorithms Analysis
• Database Management
• Artificial Intelligence
• Internet of things
• Cloud Computing
• Cyber Security

Free Parking Space Detection | Python, Open CV, Google Collab March 2023
• Data Collection: Gather a dataset of images that contain examples of both occupied and vacant parking spaces. Ideally,
the images should be diverse in terms of lighting conditions, weather, and the types of vehicles present.
• Data Preprocessing: Before feeding the images into the CNN, preprocess them to ensure uniformity and enhance the
training process. Common preprocessing steps include resizing the images to a consistent resolution, normalizing pixel
values, and augmenting the dataset
• Training the Model: Train the CNN using the training dataset. During training, the model learns to extract relevant
features from the images and differentiate between occupied and vacant parking spaces.
• Building the CNN Model: Design the architecture of the CNN. A typical CNN consists of multiple convolutional layers,
activation functions

Health Insurance Fraud Detection Using ML | Python, ML October 2022
• nappropriate payments by insurance organizations or third-party payers occur because of errors, abuse, and fraud. It is
estimated that approximately 10 of medical expenditures are wasted in medical fraud and abuse.
• The scale of this problem is large enough to make it a priority issue for health systems.
• Analyze the appropriateness of data mining techniques in detecting fraudulent health insurance claims. The goal of this
project is to predict the potentially fraudulent providers ” based on the claims filed by them