Deep Learning Projects for Masters Students
Deep Learning Tools & FrameworksIndustry-standard deep learning libraries, GPU platforms and deployment tools used in all our IEEE final year projects.
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 / Topic | Core Tools |
|---|---|---|
| 01 | Brain Tumour Detection and Segmentation using 3D U-Net with Attention Gates | PyTorch, BraTS, MONAI |
| 02 | Real-Time Multi-Object Detection for Autonomous Driving using YOLOv11 | Python, YOLOv11, KITTI |
| 03 | Sentiment Analysis and Opinion Mining using BERT Transformer Fine-Tuning | HuggingFace, BERT, PyTorch |
| 04 | Medical Image Synthesis using CycleGAN for MRI-to-CT Modality Translation | Python, TensorFlow, CycleGAN |
| 05 | Federated Learning for Privacy-Preserving Disease Prediction across Hospitals | PySyft, Flower, TensorFlow |
| 06 | Vision Transformer (ViT) for Fine-Grained Image Recognition and Classification | PyTorch, ViT, ImageNet |
| 07 | Deep Reinforcement Learning for Robot Path Planning in Dynamic Environments | OpenAI Gym, PPO, RLlib |
| 08 | Speech Emotion Recognition using Convolutional Recurrent Neural Networks | LibROSA, CRNN, RAVDESS |
| 09 | Chest X-Ray Pneumonia Detection using Transfer Learning with ResNet-50 | Keras, ResNet-50, NIH CXR |
| 10 | Automatic Text Summarization using Encoder-Decoder Transformer (T5) | HuggingFace, T5, CNN/DM |
| 11 | Deepfake Detection using Spatial-Temporal CNN and XceptionNet | PyTorch, FaceForensics++ |
| 12 | Crowd Density Estimation and People Counting using CSRNet | PyTorch, ShanghaiTech DS |
| 13 | Image Super-Resolution using ESRGAN for Medical CT Scans | TensorFlow, ESRGAN, DIV2K |
| 14 | Named Entity Recognition for Clinical Text using BioBERT and CRF | BioBERT, HuggingFace, i2b2 |
| 15 | Road Lane Detection for ADAS using Semantic Segmentation with DeepLabV3+ | PyTorch, DeepLabV3+, CULane |
| 16 | Industrial Defect Detection using Convolutional Autoencoder on MVTec Dataset | TensorFlow, MVTec AD |
| 17 | Video Action Recognition using Two-Stream CNN and 3D Convolution (C3D) | PyTorch, Kinetics-400 |
| 18 | Diabetic Retinopathy Grading using EfficientNet with Grad-CAM Explainability | Keras, EfficientNet, APTOS |
| 19 | English-to-Kannada Neural Machine Translation using Seq2Seq Transformer | PyTorch, Fairseq, IndicNLP |
| 20 | Intrusion Detection using LSTM-based Deep Learning on Network Traffic | TensorFlow, LSTM, NSL-KDD |
| 21 | 3D Point Cloud Object Detection using PointNet++ for LiDAR Data | PyTorch, PointNet++, KITTI |
| 22 | Knowledge Distillation for Edge Deployment of Image Classifiers on Raspberry Pi | TF Lite, ONNX, Raspberry Pi |
| 23 | Smart Grid Load Prediction using Temporal Fusion Transformer (TFT) | PyTorch Forecasting, TFT |
| 24 | Multimodal Fake News Detection using Text-Image Fusion and Graph Neural Networks | DGL, BERT, ViT, CLIP |
| 25 | Denoising Diffusion Probabilistic Model (DDPM) for Medical Image Augmentation | PyTorch, DDPM, MONAI |
| 26 | Graph Convolutional Network for Social Network Link Prediction | PyG, GCN, NetworkX |
| 27 | Skin Lesion Classification for Melanoma Detection using Swin Transformer | PyTorch, Swin-T, ISIC 2020 |
| 28 | Sign Language to Text Conversion using Keypoint-Based LSTM and MediaPipe | MediaPipe, LSTM, TensorFlow |
| 29 | Autonomous Drone Obstacle Avoidance using Deep Q-Network Reinforcement Learning | PyTorch, DQN, AirSim |
| 30 | Document Image Layout Analysis using LayoutLMv3 and PaddleOCR | LayoutLMv3, 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★ RatingRated 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!
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.
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.
Deep learning projects for final year on GitHub
provide open-source code, documentation, and practical implementations for engineering students.A look inside our GPU workstations, PyTorch/TensorFlow training rigs, edge AI kits, MATLAB simulation setups and demo environments for BE, MTech and PhD deep learning final year projects in Bangalore.
GPU Deep Learning Lab
GAN / Transformer Demo
PyTorch / TF Workstation
YOLO Detection Rig
Medical Image AI Lab
Edge AI / Raspberry Pi
NLP / BERT Lab
Computer Vision Demo
Neural Network Training
RL / Robotics Lab