Trending MTech Deep Learning Projects
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Deep Learning Project List with Abstract and Source Code - 21/22
S.No | Project Code | DL Projects | Action |
---|---|---|---|
1 | TYTDL1001 | IOT Device type classification using machine learning with GAN's to extrapolate the data | Click Here |
2 | TYTDL1002 | Enhancing the Quality of Video using GAN | Click Here |
3 | TYTDL1003 | Bringing life to paintings using GANS | Click Here |
4 | TYTDL1004 | Classifying the Flowers of Iris Dataset using Deep Neural Networks | Click Here |
5 | TYTDL1005 | Predicting the lung cancer in patients by Deep Neural Networks using CT Scan Images | Click Here |
6 | TYTDL1006 | Classifying different types of Leafs using Convolutional Neural Networks /Transfer Learning | Click Here |
7 | TYTDL1007 | is it Dog or Cat? using Convolutional Neural Network | Click Here |
8 | TYTDL1008 | Customer churn prediction on Financial Dataset using Artificial Neural Network | Click Here |
9 | TYTDL1009 | How likely a person is about to make Bank Turnover, Estimating it uisng Artificial Neural Network. | Click Here |
10 | TYTDL1010 | Deep learning based dog breed identification using Convolutional Neural Networks with flask app | Click Here |
11 | TYTDL1011 | Personalized workout and diet Recommendation system with Images | Click Here |
12 | TYTDL1012 | Classifying the Brain Tumors using CNN with Front End Framework | Click Here |
13 | TYTDL1013 | Identifying type of music (genre) using deep learning | Click Here |
14 | TYTDL1014 | Hand Written Digits Classification using Deep Neural Network. | Click Here |
15 | TYTDL1015 | Nifty price movement prediction using LSTM | Click Here |
16 | TYTDL1016 | Identifying Which Disease has affected a Leaf | Click Here |
17 | TYTDL1017 | Identifying the type of fruit using streamlit framework | Click Here |
18 | TYTDL1018 | Extracting Similar Images from the Internet | Click Here |
19 | TYTDL1019 | Classifying the type of Flowers using Convolutional Neural Networks | Click Here |
20 | TYTDL1020 | Detection of Retinal pigmentosa in paediatric age patients using CNN with Tkinter Framework | Click Here |
21 | TYTDL1021 | Attendance management system using face_recogntion with django framework | Click Here |
22 | TYTDL1022 | Transfer Learning Based Kidney Stone Prediction in Patients, using RESNET50 | Click Here |
23 | TYTDL1023 | Future Stock Trend Estimation using LSTM and Deployed on Streamlit Application | Click Here |
24 | TYTDL1024 | Covid 19 Pandemic Prediction using LSTM Network | Click Here |
25 | TYTDL1025 | Identifying Defects in the Various Fabrics using Convolutional Neural Networks | Click Here |
26 | TYTDL1026 | Pot Hole Detection on the roads using Transfer Learning (Resnet 50) | Click Here |
27 | TYTDL1027 | Detecting type of Disease on Patients with 7 diseases integrated using Deep Learning | Click Here |
28 | TYTDL1028 | Hand Gesture Recognition Model using Deep Learning | Click Here |
29 | TYTDL1029 | Using Transfer Learning, Producing Captions for the Images(Image Caption generator) with Front End Framework(Tkinter GUI) | Click Here |
30 | TYTDL1030 | Predicting the Future of Youtube Videos | Click Here |
31 | TYTDL1031 | Deep Fake Video Detection using Deep Learning with Tkinter GUI | Click Here |
32 | TYTDL1032 | Fire and smoke detection using CNN | Click Here |
33 | TYTDL1033 | Estimating the Artist given an Unknown Paintings | Click Here |
34 | TYTDL1034 | Identifying the lane the vehicle is travelling. | Click Here |
35 | TYTDL1035 | Genrating a 3D Scene via Text | Click Here |
36 | TYTDL1036 | Emotion Detection Using Voice Frequency | Click Here |
37 | TYTDL1037 | Don't Break Traffic Rules(automatic Detection of Helmet and Number Plate extraction from videos or images) | Click Here |
38 | TYTDL1038 | How popular a song will be?(Predicting the success of songs) | Click Here |
39 | TYTDL1039 | Building a Personal AI trainer for workout help | Click Here |
40 | TYTDL1040 | Restructuring the Old Photos using Deep Neural Networks | Click Here |
41 | TYTDL1041 | Building a Chatbot (Add intents as your wish) | Click Here |
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