Sunday, June 17, 2018

#AI for social media analytics

#AIforAgri



List of social media research trend in deep learning / Artificial Intelligence

*) Most of them who using smartphone actively involved in Social Media. the social platform is one of the major sources for gathering and collecting data analysis for the researcher.

*) Here I have listed few use cases and research area from social media data.

AI for social media

List of social media usecase for AI

*) Detecting incidents of cyber bullying
    Input: text feed from social media conversations
    Output: cyber bullying victim and bully identified



*) Characterizing mental stress and suicidal tendencies
    Input: text feed from online profiles and conversations
    Output: people suspected to have stress or suicidal tendencies are flagged



*) Understanding the stress level of students
    Input: Social Media feed
    Output: Predicting the stress level of students and based upon stress level give them consultation



*) Predicting the molesters and eve-teasers
    Input: Social Media feed and history
    Output: Predicting the behaviour of a person.



*) Predicting the fake locations on social Media
    Input: Image uploaded by user
    Output: Predicting exact location


If anything can be add / missed out, mention in the comments section.



In next blog will discuss possible use-case from AREAS FOR AI INTERVENTION.

Next :

Sunday, June 10, 2018

Top list of Artificial Intelligence in Indian Agriculture - research ideas

#AIforAgri



List of Agriculture project idea in deep learning / Artificial Intelligence

*) Agriculture is one of the hot areas where AI can be utilized to increase the farmer's crop productivity and reduce the loss.

*) Idea include, classification for disease control, weather prediction etc..

AI for Agriculture

List of agriculture area for AI

*) Plant disease identification using leaf images

*) Plants Recognition using Convolutional Neural Networks

*) Fruits counting for automatic inventory management

*) Land cover segmentation & classification using image data

*) Crop type classification using image classification

*) Pest detection and classification using image classification

*) Weed plant detection from agricultural field images

*) Predicting yield, soil moisture and weather using images processing

*) Plant Gene Classification and Functionality Prediction

*) Automated quality assessment of crops


If anything can be add / missed out, mention in the comments section.



In next blog will discuss possible use-case from AREAS FOR AI INTERVENTION.

Next :