About
As a seasoned AI Engineer and researcher, I bring a wealth of experience and expertise to…
Activity
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🎉 Happy 1st Work Anniversary, Siddhi Srivastava! 🎉 Today, we celebrate an incredible journey of dedication and talent. Siddhi, your expertise in…
🎉 Happy 1st Work Anniversary, Siddhi Srivastava! 🎉 Today, we celebrate an incredible journey of dedication and talent. Siddhi, your expertise in…
Liked by Rishikesh (ऋषिकेश)
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🤖 Moshi - a new speech-to-speech foundation model is out! it can listen to you and talk to you back all by itself. I've been reading about it…
🤖 Moshi - a new speech-to-speech foundation model is out! it can listen to you and talk to you back all by itself. I've been reading about it…
Liked by Rishikesh (ऋषिकेश)
Experience
Education
Licenses & Certifications
Volunteer Experience
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Contributor
Coala Development Group
- Present 8 years 1 month
Science and Technology
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Member
GyanSagar
- Present 13 years
Civil Rights and Social Action
Help to Helpless
Publications
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GSM based Smart home and digital notice board
IEEE
A home automation system has been developed where home appliances like light, fan etc. can be switched on or off using the same android application designed in this project. So, using the android application, the home appliances can be controlled and notices can be put up in an LCD display from any location in the world.
Other authorsSee publication
Courses
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3D Modelling
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Android Application Development
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Artificial Intelligence
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Basic Electronics and Semiconductors
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C++
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Data Analysis
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Data Analysis with Python
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Data Structures and Algorithms
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Digital Circuit Design
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Digital Image processing
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Industrial Instrumentation
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J2EE
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Java
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LabVIEW
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Machine Learning
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MatLab
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PLC & SCADA
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Robotics
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SQL
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STRUTS with Hibernate
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Transducer Engineering
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Projects
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PLC & SCADA
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Loan Default Prediction System with improved credit scoring algorithm using machine learning
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The aim of this project to built Loan Default Prediction which is a credit scoring problem.Credit scoring algorithms, which make a guess at the probability of default, are the method banks use to determine whether or not a loan should be granted. This project try to improve on the state of the art in credit scoring, by predicting the probability that somebody will experience financial distress in the next two years.
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Movie Recommender System on Item-Based Collaborative Filtering
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Build a movie recommender system based on Item-Item collaborative filtering using grouplens.org Movies datasets. The total number of movie Data in a Dataset is 100K. Item-based techniques first analyze the user-item matrix to identify relationships between different items, and then use these relationships to indirectly compute recommendations for users.This project coded in python and using python Pandas library for Data Analysis.
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Removal of ECG Artifacts from EEG based on Least Mean Square Adaptive Noise Cancellation and Adaptive Neuro Fuzzy Inference System
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Electroencephalogram (EEG) is the recording of electrical activity of the brain. Electroencephalography (EEG) is one of the most effective diagnostic procedure for epilepsy. However, the presence of artifacts like electrocardiogram (ECG) and power line noise 50hz in the EEG signal is a major problem in the study of brain potentials. Though it is intended to record cerebral signals, it also records the signals that are not of cerebral origin called artifacts. Artifact removal from EEG signals is…
Electroencephalogram (EEG) is the recording of electrical activity of the brain. Electroencephalography (EEG) is one of the most effective diagnostic procedure for epilepsy. However, the presence of artifacts like electrocardiogram (ECG) and power line noise 50hz in the EEG signal is a major problem in the study of brain potentials. Though it is intended to record cerebral signals, it also records the signals that are not of cerebral origin called artifacts. Artifact removal from EEG signals is essential for better diagnosis. This paper proposes a conventional Least Mean Square Adaptive Noise Cancelling algorithm and Adaptive Neuro-Fuzzy Inference System (ANFIS) for eliminating ECG artifact from EEG signal and shows the relative performance. In both cases the ECG signal is taken as the reference signal for denoising.
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Active Noise Cancellation in a Laborartory Duct using Fuzzy Logic and Neural Network
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The main goal of this project is to present a simulation scheme to simulate an adaptive filter using LMS (Least mean square) adaptive algorithm for noise cancellation. The main objective of the noise cancellation is to estimate the noise signal and to subtract it from original input signal plus noise signal and hence to obtain the noise free signal. There is an alternative method called adaptive noise cancellation for estimating a speech signal corrupted by an additive noise or interference…
The main goal of this project is to present a simulation scheme to simulate an adaptive filter using LMS (Least mean square) adaptive algorithm for noise cancellation. The main objective of the noise cancellation is to estimate the noise signal and to subtract it from original input signal plus noise signal and hence to obtain the noise free signal. There is an alternative method called adaptive noise cancellation for estimating a speech signal corrupted by an additive noise or interference. This method uses a primary input signal that contains the speech signal and a reference input containing noise. The reference input is adaptively filtered and subtracted from the primary input signal to obtain the estimated signal. In this method the desired signal corrupted by an additive noise can be recovered by an adaptive noise canceller using LMS (least mean square) algorithm. This adaptive noise canceller is useful to improve the S/N ratio. Here we estimate the adaptive filter using Labview /MATLAB/SIMULINK environment . For achieving the goal we also use modern algorithms like ANFIS, FIS and Neural Network and compare the PSD of all the algorithms.
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GSM based Smart Home and Digital Notice Board using Android App
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Working on a project of GSM SIM300 Module based Digital Notice Board and home automation in which the GSM Module as well as Graphical LCD Module and home appliances are interfaced using ARM7TDMI based lpc2148 microcontroller. In this project we will be able to switch on and off home appliances as well as we can display notices in the Digital notice board through SMS .
Other creatorsSee project -
Airline Reservation System(ARS)
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Honors & Awards
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Rajya Puraskar
Scout and Guide India
Languages
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English
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Hindi
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Organizations
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Nucleus Software Export Ltd
Software Engineer
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Coala Development Group
Open Source Contributor
- Present
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Successfully defended my doctoral thesis titled "Emotions and Context in Decision-making for a Socially Intelligent Agent" Really grateful to my…
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