Project & consulting

For consultancy in AI in renewable Energy Machine learning,Image processing ,WSN,IOT ,Blockchain NS2 , you can contact me directly Consultancy work on retainer ship, funding based on project progress is feasible. The costing does depend on IPR sharing model. Consultancy fee and terms and conditions are normally negotiated after evaluating the feasibility of the consultancy.


  • “Pain detection through facial expressions”. (Purpose is to find not only pain- no pain category but also the intensity of the pain the person is suffering from)


  • A Character-based Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis


  • A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative


  • A new mechanism for Video content analysis using convolutional neural networks


  • A Two-Stage Convolutional Neural Networks for Lung Nodule Detection


  • An effective attribute based broad caste encryption model for ensuring security in IOT-fog network.


  • An Efficient Method for Plant Disease Detection and Classification Using Soft Computing Techniques


  • Anomaly detection in live stream data


  • Automated detection of diabetic retinopathy using convolutional neural networks on a small dataset


  • Cancer classification using gene expression data


  • Cough sound analysis and objective correlation with spirometry and clinical diagnosis


  • Cross corpus multi-lingual speech emotion recognition using ensemble learning


  • Deep Learning-based Polar Code Design


  • Dengue disease prediction using deep learning python


  • Disease Detection and Classification in Paddy Crop


  • Fake Media Detection Based on Natural Language Processing and Blockchain Approaches.


  • Hand gesture recognition to recognize hand gesture from videos with high recognition accuracy by extracting unique features


  • Identification of crop diseases using High-Resolution Hyperspectral UAV Images in this objective i have find crop disease


  • Kidney and Renal Tumor Segmentation Usinga Hybrid V-Net-Based Model


  • Malware detection for Android smartphones using machine learning algorithms.


  • Missing Data Imputation in GNSS Monitoring Time SeriesUsing Temporal and Spatial Hankel Matrix Factorization


  • Primary User Emulation Attacks and Protection Methods for cognitive radio (cognitive radio network)


  • Semantic approach for IOT Data Analysis and Analytics with prospect in Agriculture 4.0


  • Shelf Configuring Intrusion Detection System using Deep Learning


  • Surya namaskar: real-time advanced yoga pose recognition and correction for smart healthcare


  • Time delay estimation of partial discharge signals using deep learning algorithms-most preferably CNNs


  • To implement consensus among multiple agents using newly design robust algorithm so that I can achieve consensus faster with some uncertainty in consensus equation.


  • To propose and implement an optimized deep CNN based technique for the classification of COVID-19.


  • To Select a suitable neural network/ deep learning approach for digital audio watermarking.


  • We need to do face recognition with some machine learning deep learning techniques