SukonyaPhukan92 / Image_Based_Air_Pollution_detection_using_InceptionV3_Model
In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achieve that goal, we have collected data from different sources and then enhanced the low-quality images using the Image enhancement technique. Our next step was to train a CNN (Convolutional Neural Network) on the …
☆11Updated 3 years ago
Alternatives and similar repositories for Image_Based_Air_Pollution_detection_using_InceptionV3_Model:
Users that are interested in Image_Based_Air_Pollution_detection_using_InceptionV3_Model are comparing it to the libraries listed below
- To predict the air quality index using meterological data using machine learning algorithms and LSTM(Long Short Term Memory)☆10Updated 5 years ago
- Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)☆43Updated 2 years ago
- It is important for insurance companies to estimate the risk involved while covering a future customer. Predicting the chances of insuran…☆13Updated 5 years ago
- Detection and Prediction of Air quality Index☆48Updated 4 years ago
- An Interactive web application for identifying food names based on the images, providing nutritional facts (For eg: calculating calories …☆8Updated 2 years ago
- Variable Length Genetic Algorithm for hyperparameter optimization of a CNN☆11Updated 4 years ago
- This is my thesis work on renewable energy detection which compares state of art models using Machine Learning and Deep Learning adapted …☆12Updated 3 years ago
- Webapp to predict the Air Quality Index of a region given climate conditions.☆49Updated last year
- Solar Energy prediction is a challenging problem, as it depends on the weather parameters of that region. The daily prediction of the so…☆15Updated 4 years ago
- Air Quality Prediction using Machine Learning☆15Updated 3 years ago
- The aim of this project is to use a deep learning approach to design and evaluate an algorithm for detecting drowsiness related lane depa…☆7Updated 5 years ago
- Time Series Analysis of Air Pollutants(PM2.5) using LSTM model☆49Updated 4 years ago
- A digital twin (python) for water quality monitoring (wqm)☆15Updated last year
- A model to predict the air quality index for a upcoming year on the basis of historical data .for forecasting the air quality☆11Updated 5 years ago
- In this repo, all about Deep Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. …☆41Updated 2 years ago
- We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.☆20Updated 4 years ago
- I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series ana…☆27Updated 4 years ago
- In this project, Basic Machine Learning concepts were built on Desharnais dataset to built a software effort estimation model using a lin…☆10Updated 6 years ago
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆15Updated 3 years ago
- Satellite Image Augmetation with GANs☆19Updated 2 years ago
- jupyter notebook for mnist digit recognition using CNN, CNN feature map visualization and facical expression recognition☆9Updated 5 months ago
- In this post, I have implement a water quality prediction using machine learning techniques. In this technique, our model predicts that t…☆22Updated 3 years ago
- plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai☆14Updated last year
- AQI Prediction using LSTM, MLR, SVR, Random Forest, Gradient Boosting☆37Updated 3 years ago
- Energy consumption prediction using LSTM/GRU networks in PyTorch☆48Updated last year
- A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.☆13Updated 3 years ago
- This project is based on Data-mining and Machine Learning technique using Python and Scikit-learn. It is used to predict Chronic Kidney D…☆14Updated 6 years ago
- AI Application that can predict the most suitable crops to grow in particular farm based on various parameters.☆58Updated 2 years ago
- ☆15Updated 3 years ago
- Stacking of individual Ensemble methods to predict Bike Rental count at any hour of the year☆14Updated 5 years ago