Developed a digital health platform with HTML/CSS/JS, Flask, JWT authentication, MongoDB, and ChatGPT API, leading to a 30% increase in user engagement.
Created a document retrieval system using BERT, Angular, and Tailwind CSS, with a backend powered by Flask, Celery, Redis, and Elasticsearch for efficient real-time data interaction.
Trained multiple ML models (Bayesian, SVM, DNN, KNN) to predict corrosion rates, reducing incidents by 20% through data-driven insights.
Enhanced classification accuracy by 15% using Epsilon Differential Privacy, leveraging Python libraries like Pandas, Scikit-learn, Pytorch, TensorFlow, and Keras.
Deliverable: Frameworks and strategies to approach lowering cost in remote delivery
zones.
Simulation of Water Dam using openGL and C#
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