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30+ IEEE 2026 Deep Learning Projects for Final Year

2026 Deep Learning Projects for Final Year

built to get you top marks.>

30+ IEEE 2026 deep learning projects for final year BE, BTech and MTech students in Bangalore — CNN, GAN, Transformer, YOLO, BERT, ViT, Federated Learning, Diffusion Models, Medical Image Analysis, NLP and Reinforcement Learning with complete source code, dataset, report, PPT and viva support.

★★★★★ 4.9 / 5  ·  9,500+ students guided  ·  98% project success
Deep learning project for final year students Bangalore — CNN object detection Deep learning final year project MTech — GAN and Transformer models Deep learning BE BTech project 2026 — PyTorch TensorFlow source code
30+
Project Topics
9,500+
Students Guided
4.9★
Average Rating

Deep Learning Projects for Masters Students

Deep Learning Tools & Frameworks

Industry-standard deep learning libraries, GPU platforms and deployment tools used in all our IEEE final year projects.

PyTorch TensorFlow / Keras Python 3.x YOLOv8 / v11 BERT / BioBERT ViT / Swin Transformer EfficientNet / ResNet OpenCV / Pillow HuggingFace CUDA / GPU ONNX / TF Lite OpenAI Gym / RLlib

2026 Deep Learning Projects for Resume

will become essential for showcasing practical AI skills and improving career opportunities in the future.

Every deep learning project for final year includes IEEE 2026 base paper, Python/PyTorch/TensorFlow source code, dataset references, architecture diagram, project report, PPT and viva Q&A support for BE, BTech and MTech scholars.

#Deep Learning Project Title / TopicCore Tools
01Brain Tumour Detection and Segmentation using 3D U-Net with Attention GatesPyTorch, BraTS, MONAI
02Real-Time Multi-Object Detection for Autonomous Driving using YOLOv11Python, YOLOv11, KITTI
03Sentiment Analysis and Opinion Mining using BERT Transformer Fine-TuningHuggingFace, BERT, PyTorch
04Medical Image Synthesis using CycleGAN for MRI-to-CT Modality TranslationPython, TensorFlow, CycleGAN
05Federated Learning for Privacy-Preserving Disease Prediction across HospitalsPySyft, Flower, TensorFlow
06Vision Transformer (ViT) for Fine-Grained Image Recognition and ClassificationPyTorch, ViT, ImageNet
07Deep Reinforcement Learning for Robot Path Planning in Dynamic EnvironmentsOpenAI Gym, PPO, RLlib
08Speech Emotion Recognition using Convolutional Recurrent Neural NetworksLibROSA, CRNN, RAVDESS
09Chest X-Ray Pneumonia Detection using Transfer Learning with ResNet-50Keras, ResNet-50, NIH CXR
10Automatic Text Summarization using Encoder-Decoder Transformer (T5)HuggingFace, T5, CNN/DM
11Deepfake Detection using Spatial-Temporal CNN and XceptionNetPyTorch, FaceForensics++
12Crowd Density Estimation and People Counting using CSRNetPyTorch, ShanghaiTech DS
13Image Super-Resolution using ESRGAN for Medical CT ScansTensorFlow, ESRGAN, DIV2K
14Named Entity Recognition for Clinical Text using BioBERT and CRFBioBERT, HuggingFace, i2b2
15Road Lane Detection for ADAS using Semantic Segmentation with DeepLabV3+PyTorch, DeepLabV3+, CULane
16Industrial Defect Detection using Convolutional Autoencoder on MVTec DatasetTensorFlow, MVTec AD
17Video Action Recognition using Two-Stream CNN and 3D Convolution (C3D)PyTorch, Kinetics-400
18Diabetic Retinopathy Grading using EfficientNet with Grad-CAM ExplainabilityKeras, EfficientNet, APTOS
19English-to-Kannada Neural Machine Translation using Seq2Seq TransformerPyTorch, Fairseq, IndicNLP
20Intrusion Detection using LSTM-based Deep Learning on Network TrafficTensorFlow, LSTM, NSL-KDD
213D Point Cloud Object Detection using PointNet++ for LiDAR DataPyTorch, PointNet++, KITTI
22Knowledge Distillation for Edge Deployment of Image Classifiers on Raspberry PiTF Lite, ONNX, Raspberry Pi
23Smart Grid Load Prediction using Temporal Fusion Transformer (TFT)PyTorch Forecasting, TFT
24Multimodal Fake News Detection using Text-Image Fusion and Graph Neural NetworksDGL, BERT, ViT, CLIP
25Denoising Diffusion Probabilistic Model (DDPM) for Medical Image AugmentationPyTorch, DDPM, MONAI
26Graph Convolutional Network for Social Network Link PredictionPyG, GCN, NetworkX
27Skin Lesion Classification for Melanoma Detection using Swin TransformerPyTorch, Swin-T, ISIC 2020
28Sign Language to Text Conversion using Keypoint-Based LSTM and MediaPipeMediaPipe, LSTM, TensorFlow
29Autonomous Drone Obstacle Avoidance using Deep Q-Network Reinforcement LearningPyTorch, DQN, AirSim
30Document Image Layout Analysis using LayoutLMv3 and PaddleOCRLayoutLMv3, PaddleOCR, HF

Topics refreshed to align with IEEE Xplore 2026 trends. Contact us for the full base-paper list, dataset links and source code preview for any topic above. Rated 4.9★ by 9,500+ students.

Deep Learning Projects for Beginners,

What Students Say — 4.9★ Rating

Rated 4.9 out of 5 by 9,500+ BE, BTech and MTech students who completed their deep learning final year project with us.

★★★★★

Got my MTech deep learning project — brain tumour segmentation using U-Net — completed with full source code, report and viva support. Excellent guidance from the team in Bangalore!

Priya S. — MTech, Bangalore
★★★★★

Best deep learning project centre in Bangalore for IEEE 2026 projects. My YOLO-based real-time object detection project was delivered on time with complete documentation and PPT.

Rajan K. — BE CSE, Bangalore
★★★★☆

Very helpful team. My BERT sentiment analysis final year project was well-implemented with proper dataset references, source code and project report. Highly recommend for final year students.

Meena T. — BTech IT, Bangalore

Deep Learning Projects for Final Year BE Students

Looking for the best deep learning projects for final year BE students? Our IEEE 2026 topics are perfect for BE and BTech CSE, IT and ECE students — with pre-trained models, datasets, source code and report support.

  • Chest X-ray Pneumonia Detection using ResNet-50
  • Real-time YOLO object detection for autonomous driving
  • Sign Language to Text using MediaPipe and LSTM
  • Industrial defect detection using Convolutional Autoencoder

Deep Learning Projects for MTech Final Year

Research-grade deep learning projects for MTech final year — federated learning, diffusion models, graph neural networks, ViT and multimodal AI aligned with IEEE Xplore 2026 publications.

  • Federated Learning for privacy-preserving disease prediction
  • DDPM diffusion model for medical image augmentation
  • Graph Convolutional Network for social network link prediction
  • Multimodal fake news detection using BERT, ViT and CLIP

Deep Learning Projects with Source Code

Every deep learning project with source code we deliver includes Python/PyTorch/TensorFlow scripts, Jupyter notebooks, dataset links, training logs, architecture diagram, report and PPT — ready to run and demo.

  • Complete Python source code and Jupyter notebooks
  • IEEE 2026 base paper and citation-ready references
  • University-format project report and PPT slides
  • Viva Q&A support and 24×7 WhatsApp guidance

IEEE Deep Learning Projects 2026 Bangalore

We are Bangalore's top-rated centre for IEEE deep learning projects 2026 — rated 4.9★ by 9,500+ students. Topics span CNN, RNN, GAN, Transformer, ViT, NLP, Edge AI and medical imaging.

  • All topics based on 2026 IEEE Xplore papers
  • Available for BE, BTech, MTech, MCA and PhD scholars
  • Customisable to university syllabus and evaluation criteria
  • On-time delivery with viva and presentation support