Alternatives and similar repositories for Balaram-Agriculture-Chatbot:

Users that are interested in Balaram-Agriculture-Chatbot are comparing it to the libraries listed below

• yashthorbole / Fertilizer-Recommendation-System
  This is a Machine Learning Project using python and jupyter notebook. Disclaimer :- This project is for training and learning purpose onl…
  ☆9Updated 2 years ago
• krishnaik06 / Cotton-Disease-Prediction-Deep-Learning
  ☆102Updated 2 years ago
• krishnaik06 / Tomato-Leaf-Disease-Prediction
  ☆113Updated 4 years ago
• lostrider07 / Crop_prediction_using_ML
  The designed hybrid neural network model identifies optimal combinations of soil parameters and blends it with the rainfall pattern in a …
  ☆11Updated 3 years ago
• VaibhavSaini19 / Crop-Yield-Prediction-using-ML
  A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produc…
  ☆74Updated last year
• shobhitsrivastava-ds / ML-MT-WebApp
  This project is all about a Machine Learning based Medical Test web app which makes predictions about various diseases using the concept …
  ☆204Updated 2 years ago
• nachi-hebbar / Forest-Fire-Prediction-Website
  A website that predicts the probability of a forest fire taking place based on oxygen,temperature and humidity content
  ☆146Updated 9 months ago
• vneogi199 / Air-Quality-Index-Prediction-using-Python
  Webapp to predict the Air Quality Index of a region given climate conditions.
  ☆55Updated last year
• krishnaik06 / AQI-Project
  ☆119Updated 4 years ago
• SagarDhandare / Liver-Disease-Prediction-Project
  Machine Learning Web App Built Using Flask Deployed on Heroku
  ☆28Updated 3 years ago
• kishan0725 / Movie-Recommendation-System-with-Sentiment-Analysis
  Content based movie recommendation system with sentiment analysis
  ☆94Updated 2 years ago
• pydeveloperashish / Foliar-diseases-in-Apple-Trees-Prediction
  Live Project Link:-
  ☆13Updated 3 months ago
• anillava1999 / Air-Quality-Prediction
  Air Quality Prediction using Machine Learning
  ☆23Updated 3 years ago
• venugopalkadamba / Multi_Disease_Predictor
  A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
  ☆139Updated 2 years ago
• yaswanthpalaghat / Automatic-Image-Captioning-using-CNN-LSTM-deep-neural-networks-and-flask
  Image caption generation has emerged as a challenging and important research area following ad-vances in statistical language modelling a…
  ☆37Updated 2 years ago
• sharmapratik88 / AIML-Projects
  Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
  ☆156Updated 3 years ago
• Vasanthengineer4949 / Rain-Prediction
  A project on predicting whether it will rain tomorrow or not
  ☆185Updated 4 years ago
• krishnaik06 / Natural-Language-Processing
  ☆236Updated 3 years ago
• krishnaik06 / Deep-Learning-Car-Brand
  ☆109Updated 2 years ago
• jiteshpabla / crop_yield_prediction
  Crop yield prediction based on temperature and rainfall for India
  ☆15Updated 5 years ago
• krishnaik06 / Fake-News-Classifier
  ☆93Updated 5 years ago
• krishnaik06 / Malaria-Detection
  ☆156Updated 2 years ago
• krishnaik06 / RegressionandLasso
  ☆87Updated 3 years ago
• Shubhamai / plant-disease-detection
  The Website predicts if the leaf🌿 is healthy or not using by taking plant's left image using Machine Learning🤖
  ☆23Updated 2 years ago
• Vignesh227 / Plant-Disease-Prediction
  Upload leaf image🌱 and predict the plant disease.
  ☆24Updated last year
• krishnaik06 / Fake-New-LSTM
  ☆92Updated 2 years ago
• venugopalkadamba / Technocolabs-Data-Science-Internship
  Technocolabs Data Science Internship
  ☆22Updated 4 years ago
• asthasharma98 / Heart-Disease-Prediction-Deployment
  A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.
  ☆38Updated last year
• Pawandeep-prog / deploy-ml-model-flask
  deploy your ml model using flask
  ☆76Updated 2 years ago
• campusx-official / machine-learning-interview
  Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
  ☆10Updated 4 years ago