Deep Learning Projects from basic level for final year with source code

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Deep Learning Project List with Abstract and Source Code - 21/22

Deep learning is branch of machine learning which basically mimics the behavior of a human brain like how the neurons are connected with each other and the way they interact and share information which will allow the model to precisely identify or categorize the object it is trying to learn. Deep Learning is a subset of Machine Learning(A technique to achieve AI through algorithm trained data) which in turn is a subset of AI ( A technique to mimic human behavior) Deep learning is inspired by the structure of the human brain in terms of deep learning the human brain is called as Artificial Neural Network(ANN). It has three or more neural network layers.

We have selected quite interesting projects in Deep Learning and tried to explain each project in detail with step by step execution where every individual irrespective of their educational background can learn and execute this projects by themselves.

Project List with Step by Step execution

S.NoProject CodeDL ProjectsAction
1TYTDL1004Classifying the Flowers of Iris Dataset using Deep Neural NetworksDETAILS
2TYTDL1005Predicting the lung cancer in patients by Deep Neural Networks using CT Scan ImagesDETAILS
3TYTDL1008Customer churn prediction on Financial Dataset using Artificial Neural NetworkDETAILS
4TYTDL1009How likely a person is about to make Bank Turnover, Estimating it uisng Artificial Neural Network.DETAILS
5TYTDL1010Deep learning based dog breed identification using Convolutional Neural Networks with flask appDETAILS
6TYTDL1012Classifying the Brain Tumors using CNN with Front End FrameworkDETAILS
7TYTDL1013Identifying type of music (genre) using deep learningDETAILS
8TYTDL1014Hand Written Digits Classification using Deep Neural Network.DETAILS
9TYTDL1015Nifty price movement prediction using LSTMDETAILS
10TYTDL1019Classifying the type of Flowers using Convolutional Neural NetworksDETAILS
11TYTDL1020Detection of Retinal pigmentosa in paediatric age patients using CNN with Tkinter FrameworkDETAILS
12TYTDL1022Transfer Learning Based Kidney Stone Prediction in Patients, using RESNET50DETAILS
13TYTDL1023Future Stock Trend Estimation using LSTM and Deployed on Streamlit ApplicationDETAILS
14TYTDL1024Covid 19 Pandemic Prediction using LSTM NetworkDETAILS
15TYTDL1025Identifying Defects in the Various Fabrics using Convolutional Neural NetworksDETAILS
16TYTDL1026Pot Hole Detection on the roads using Transfer Learning (Resnet 50)DETAILS
17TYTDL1028Hand Gesture Recognition Model using Deep LearningDETAILS
18TYTDL1031Deep Fake Video Detection using Deep Learning with Tkinter GUIDETAILS
19TYTDL1034Identifying the lane the vehicle is travelling.DETAILS
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Hey! Click on the above degree which you're from. You can find the specified branches. Please select your branch and a new page will pop-up with the latest projects list. There you go.. You can select any title and mail / call us. 

Time is a dependent factor. If we're going with a basic one it will take 2-3 days, for moderate level it will be 7-10 days, for Master's or Research level projects time taken is 30-45 days.

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