B.Tech Major Python Projects Vijayawada
|1||a new real time clinical decision system using ML for critical care units||machine learning|
|2||outlier detection in indoor localization and internet of things (IOT) using Ml||machine learning|
|3||research on basketball shooting action based on image feature extraction and ml||machine learning|
|4||emotion detection of contextual text using deep learning||deep learning|
|5||predicting drug risk level from adverse drug reaction using ML||machine learning|
|6||detection of foreign objects in chest radiograph with deep learning||deep learning|
|7||bullet impact detection using RCNN||image processin & Deep learning|
|8||analysis of symatic comprehensive algorithms of natural language based on robot questions and answers||machine learning|
|9||crime analysis using k-means algorithm||machine learning|
|10||fingerprint liveeness detection based on guided filtering and hybrid image analysis||image processin & Deep learning|
|11||detecting and characterising extremist revival group in online product review||machine learning|
|12||solving onion market instability by forecasting onion price using ML approach||machine learning|
|13||a new real time clinical decision system using ML for critical care units||machine learning|
|14||multi objective optimization algorithm and preference multi objective decision making based on artifical intelligence biological immune system|
|15||natural image deblurring via rining artifacts using knowledge prevent priors|
|16||early detection of parkingson's disease using deep learning and ML||machine learning & DL|
|17||a deep neural collarative filtering for educational services recommendation||deep learning|
|18||an energy efficient routing protocol based on improved artificial bee colony algorithm for wireless sensor networks||machine learning|
|19||an automatic advisor for refactoring software clones based on ML||machine learning|
|20||review study of interpretation methods for future interpretable ML||machine learning|
|21||risk prediction of theift crimes in urban communities using LSPM and STGCN using deep learning model||deep learning|
|22||medicine expenditure prediction variance based on generator advasorial network|
|23||deep learning anti fraud model for internet loan||deep learning|
|24||combined objection detection for predistrain detection||image processin & Deep learning|
|25||application of ML methods in health detection a systematic review||machine learning|
|27||food receipe alternation and generation with natural language processing techniques|
|28||A study on natural language processing classified news||machine learning & DL|
|29||human recognition using ear based deep learning features||deep learning|
|30||generating image captions based on deep learning and natural language processing||deep learning & NLP|
|31||analysis for disease gene association using machine learning||machine learning|
|32||port recommendation system for altenative container port destinations using a novel neural language|
|34||Machine learning based student's native place identification for real time||machine learning|
|35||ML based automatic classification of knee osteorthritis severity using gait data and radiographic images||machine learning|
|36||analysis and detection of community acquired pneumonia using pspnet with complex daubechies wavelets|
|37||deep learning frame work to detect face masks from video footage||deep learning|
|38||evaluation of factors affecting the compressive strenght of concrete|
|39||sign language to speech translation using machine learning||machine learning|
|40||face mask using deep learning||deep learning|
|41||decision free and support vector machine for anomaly detection in water distribution networks||machine learning|
|42||3D structure surface modelling from volumetric ct images||image processin & Deep learning|
|43||COVID-19 Prediction and Detection Using Deep Learning||deep learning|
|44||Child Attention Detection through Facial Expression Recognition using SVM Algorithm||machine learning|
|45||Sign Language Recognition Using Deep Learning on Custom Processed Static Gesture Images||deep learning|
|46||COVID-19 Future Forecasting Using Supervised Machine Learning Models||machine learning|
|47||Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network||deep learning|
|48||A Prediction Approach for Stock Market Volatility Based on Time Series Data||machine learning|
|49||Movies Reviews Sentiment Analysis and Classification||machine learning|
|50||A Comparative Study of Support Vector Machine and Naive Bayes Classifier for Sentiment Analysis on Amazon Product Reviews||machine learning|
|51||Subjective Answer Evaluation System||machine learning & NLP|
|52||A Lightweight Convolutional Neural Network for Real-Time Facial Expression Detection||deep learning|
|53||Road Traffic Condition Monitoring using Deep Learning||deep learning|
|54||BAT: Deep Learning Methods on Network Intrusion Detection Using NSL-KDD Dataset||deep learning|
|55||Efficiently Mining Frequent Itemsets on Massive Data|
|56||SIGN LANGUAGE RECOGNITION USING ML||machine learning|
|57||A Honeypot with Machine Learning based Detection Framework for defending IoT based Botnet DDoS Attacks||machine learning|
|58||FAKE NEWS CLASSIFICATION ON TWITTER USING FLUME, N-GRAM ANALYSIS, DECISION TREE MACHINE LEARNING TECHNIQUE||machine learning|
|59||Tourist Place Reviews Sentiment Classification Using Machine Learning Techniques||machine learning|
|60||Understanding the timing of eruption end using a machine learning approach to classification of seismic time series||machine learning|
|61||Predicting Students' Academic Performance Through Supervised Machine Learning||machine learning|
|62||Feature-Level Rating System Using Customer Reviews and Review Votes|
|63||Animal Detection - IOT based Agricutlural||IOT and ML|
|64||Food Calorie Estimation - Incrdient based and Image Processing||image processing|
|65||Natural Language Based on Robot’s Questions and Answers - Chatbot with DL||deep learning|
|66||Skin Lesion Classification using CNN and Transfer Learning||deep learning|
|67||Face recognition and Emotion Detection||deep learning|
|68||embedded Night-Vision System for Pedestrian Detection|
|69||An Automated Live Forensic and Postmortem Analysis Tool for Bitcoin on Windows Systems|
|70||Impact Evaluation of Cyber-attacks on Traffic Flow of Connected and Automated Vehicles|
|71||dynamical propagation model of malware for cloud computing security|
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Python is one of the most widely used object-oriented programming languages, as we all know. Python is currently widely used and considered the standard programming language for students to learn. As you read this, python is being used to develop many applications all around the world. This is due to the benefits it offers us, such as the ability to construct a wide range of programmers such as desktop apps, web apps, games, Android apps, and so on. Let us see some of the common applications created by python. And when you have fully read the article, head out to see our best b tech CSE mini python projects, with complete resources.
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Python has established itself as one of the best programming languages for mobile application development. It may be used with Android Studio and is compatible with a variety of other programmers. You're probably wonder ing why Python is so valuable and why so many people are enamored with it. Because it operates on the Python Virtual Machine, this is the case (JVM). Any desktop application can be easily created with Python. Python also allows GUI programming with the Abstract Windowing Toolkit (AWT), Swing, and other frameworks. AWT, on the other hand, comes with a number of pre-built components including menus, lists, and buttons. Swing is a graphical user interface widget toolkit that includes advanced features such as trees, tables, lists, etc. Are you worried about your final year project and which domain to choose? Tru Projects has got your back. We provide you some of the best b tech CSE mini python live projects in Hyderabad.
All of us very well know that python is mainly used to develop web applications. Web applications can be written efficiently in Python. It offers support efficiently for web applications with the support of Servlets, JSPs and so on. You can create any type of web application you want with the help of python because of the programming language's simple coding and strong security. It can now be seen being widely used in different industries like health, security, education, insurance and so much more. For more projects that deal with applications like these, choose from our exciting list of b tech CSE mini final year projects in Hyderabad.
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Cloud computing is a type of technology that uses the internet to provide clients with a variety of services. It gives you access to a wide range of technological resources, including storage, servers, and much more. It enables you to store data in huge quantities and in the quantities required so that you can recover data in the case of a system crash, server crash, or other unforeseen incident. Python has capabilities that can assist you in developing applications, so it can be utilized in SaaS, IaaS, and PaaS development. Whatever requirement we have, it is capable of helping us in our businesses by developing applications from remote locations or in helping different businesses to exchange data with others. Now that you have understood the applications of python, do not wait further, and choose from our b tech academic CSE mini python projects.
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