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Facial-Expression-Detection-using-CNN-Real-Time-Recognition-with-Webcam. The project aim is to develop a facial expression detection system using CNNs that can accurately recognize and classify facial expressions across a range of emotions.
13Deployement-of-Automatic-Water-Quality-Prediction-System-on-Streamlit-Cloud. The project aims to develop the classification model that can label any new water sample as either safe or unsafe for drinking based on the parameters such as aluminium, ammonia, fluoride, chromium, copper and bacteria with high accuracy.
3Automatic-Ticket-Classification-System-with-NLP-NMF-and-ML-Algorithms. This project designed to automate the classification of customer support tickets utilizing Natural Language Processing (NLP) techniques, Non-Negative Matrix Factorization (NMF), and various Machine Learning (ML) algorithms.
3-AI-Powered-Mental-Health-Chatbot-using-LangChain-Groq-Gradio. A compassionate, context-aware mental health chatbot built using PDF-based knowledge, vector search (ChromaDB), HuggingFace embeddings, and LLaMA 3-70B via Groq API. The interface is designed with Gradio for a friendly, chat-like user experience.
2Predict-students-dropout-and-academic-success. The aim of this project is to contribute to the reduction of academic dropout and failure in higher education, by using machine learning techniques to identify students at risk at an early stage of their academic path, so that strategies to support them can be put into place.
2Credit-Card-Customer-Segmentation-for-AllLife-Bank. To identify different segments in the existing customer based on their spending patterns as well as past interaction with the bank.
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