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license plate recognition system will work with camera to identify the plate number of the car that tries to enter the parking lot, and also check if the car allowed/not allowed to enter by checking the DB of the system.
Demonstrates the deployment process of FanaticFi, an NBA Draft Rank Prediction app empowered by Support Vector Machines (SVM) machine learning model using the Flask application and Heroku cloud services. This user-friendly web application is going to predict whether NBA rookie’s draft rank is within the top 15 or below based on given player’s st…
Built a real-world email spam classifier using Support Vector Machine(SVM), achieving 98% accuracy through robust text preprocessing, TF-IDF feature extraction, and EDA. Deployed the model with Flask, enabling real-time predictions and visualization of words influencing classification.
Web Application developed using python flask framework to check whether a stock prices will go up(bulls) or down(bears) using Random Forest Classifier, SVM and Decision Tree Classifier