This book contains the papers presented at the First International Conference on Innovations in Intelligent Computing and Communication, ICIICC 2021, held in Bhubaneswar, Odisha, India, in December, 2022.The 31 full papers presented were thoroughly reviewed and selected from 78 submissions.

Track-1: Intelligent Computing.- Ensemble Learning Model for EEG based Emotion Classification.- Foundation for the Future of Higher Education or ‘Misplaced Optimism’? Being Human in the Age of Artificial Intelligence.- AI Enabled Internet of Medical Things Framework for Smart Healthcare.- Metaverse and Posthuman Animated Avatars for Teaching-Learning Process: Interperception in Virtual Universe for Educational Transformation.- Tuning Functional Link Artificial Neural Network for Software Development Effort Estimation.- METBAG – A Web Based Business Application.- Designing Smart Voice Command Interface For Geographic Information System.- Smart Garbage Classification.- Optical Sensor Based on MicroSphere Coated with Agarose For Heavy Metal Ion Detection.- Influential Factor Finding for Engineering Student Motivation.- Prediction Of Software Reliability Using Particle Swarm Optimization.- An Effective Optimization of EMG based Artificial Prosthetic Limbs.- Track-2: Communications.- Performance Analysis of Fading channels in a Wireless Communication.- Fuzzy Logic Based Power Conscious Clustering Algorithm in Wireless Sensor Networks.- Cryptanalysis on "An Improved RFID-based Authentication Protocol for Rail Transit".- A Novel Approach to Detect Rank Attack in IoT Ecosystem.- Energy Efficient Adaptive Mobile Wireless Sensor Network in Smart Monitoring Applications.- Orthogonal Chirp Division Multiplexing : An Emerging Multi Carrier Modulation Scheme.- Track-3: Machine Learning and Data Analytics.- COVID-19 Outbreak Estimation Approach using Hybrid Time Series Modelling.- Analysis of Depression, Anxiety, and Stress Chaos Among Children and Adolescents Using Machine Learning Algorithms.- Sentiment Analysis from Student Feedbacks using Supervised Machine Learning Approaches.- Machine Learning Algorithms For Diabetes Prediction.- CRODNM: chemical reaction optimization of dendritic neuron models for forecasting net asset values of mutual funds.- Machine Learning Approaches and Particle Swarm Optimization Based Clustering for the Human monkeypox viruses: A Study.- Machine Learning-based Hybrid Feature Selection for Improvised Network Intrusion Detection.- Application of Efficient Feature Selection and Machine Learning Algorithms in Mental Health Disorder Identification.- A Survey on Sentimental Analysis in LMS using NLP and Text Mining.- Rice Yield Estimation using Deep Learning.- Sentiment Analysis on Movie Review Data using Ensemble Machine Learning Approaches.- Comparative analysis of COVID 19 detection from cough speech using Machine Learning classifiers.- Classification of High Resolution Satellite Image with Content Based Image Retrieval and Local Binary Pattern.