Key word/wake word detection with espressif esp32s3
tensorflow devkit espressif ml-model tensorflow-micro ai-model edge-impulse wake-word esp32s3 audio-detection key-word key-word-spotter esp32s3-devkitc-1 esp-nn
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ml-model
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🪨 Machine learning project using logistic regression to classify sonar signals as either rocks or mines. Uses scikit-learn to train a binary classifier on sonar dataset with 60 numerical features for accurate underwater object detection.
python machine-learning numpy scikit-learn jupyter-notebook pandas artificial-intelligence dataset logistic-regression learning-materials binary-classification prediction-model ml-algortihms accuracy-score ml-model train-test-split
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A real world crypto currencies streaming and analysing using kafka through snowflake.
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Seatbelt detection using YOLOv5 ML model
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Machine Learning as a Service for HEP
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Fine-tuning OpenAI's Whisper model on Persian speech datasets for enhanced automatic speech recognition (ASR) performance.
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Explore Transformer architecture, token-by-token generation, and LLM training through hands-on Python notebooks training workflows with Phi-3.
ml-model ml-engineering ai-models llm-training llm-inference llm-evaluation ai-model-training ml-prediction-model
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An intelligent machine learning application that predicts student exam scores and provides personalized recommendations for academic improvement using advanced AI and data analytics.
python machine-learning random-forest model machine-learning-algorithms vscode secure pip recommendation-system performance-analysis student-project performance-testing prediction-model gradient-boosting liner-regestion ml-model streamlit csv-dataset student-performance-prediction advance-analytics
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Group project for Hackathon
react react-router tensorflow nextjs favicon api-client web-application weather-api firebase-auth flask-api firebase-authentication college-project router-dom ml-model react-hooks pickle-framework vercel-deployment hackathon2024
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The Smart Crop Disease Detection System is a Django web app that uses machine learning to identify crop diseases from leaf images. It helps farmers detect diseases quickly and take action to protect their crops. The system features AWS S3 image storage, TensorFlow Lite integration, and a responsive front-end for easy use.
python docker machine-learning django computer-vision deep-learning agriculture tensorflow aws-s3 web-app prediction image-classification plant-disease tensorflow-model tensorflow-lite agrotech ml-model smart-farming crop-disease-detection crop-health
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This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labeled dataset. The classifier used for this project is RandomForestClassifier. Deployed in Heroku.
python html flask finance documentation data-science machine-learning internship ai deployment banking classification data-analysis heroku-deployment random-forest-classifier ml-model credit-card-defaulter-prediction
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A Machine Learning model created using prebuild model. We need to feed the images to the model and it will predict if the same person is there else it will mark as unknown.
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Animal Classification: A CNN-based image recognition model.
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EY Hackathon Project
python vaccine ml-model ai-ml coronavirus covid-19 covidindia ai-model vaccine-distribution ey-hackathon
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to predict the survival of the fittest.
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SugarSense : The Diabetes Prediction Application
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Predict the winning team of IPL matches using XGBoost and Flask, powered by historical data from 2008–2024.
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Comment Toxic Analyzer build on machine Learning algorithm (Random Forest) capable to analyze toxicity present in comment or any text with the accuracy of around 83%
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Developed as part of the Huawei Internship Program in collaboration with Kuwait University. It replicates a simplified version of Huawei SmartCare’s churn analysis.
nodejs flask oauth2 internship mongodb dashboard expressjs prediction mern third-party public-data huawei kuwait ml-model summer2025-internships kuwait-university googel-login githup-login
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An image classification machine learning model that recognizes hot dogs.
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