What are the best MTech Computer Science project topics for 2026 focusing on Deep Learning and Digital Forensics?

Top topics include: Vision Transformers for medical image analysis, Multimodal LLMs, Diffusion models for image synthesis, Deepfake detection, Memory forensics with Volatility, Network traffic anomaly detection with GNNs, Malware classification using CNNs/Transformers, Multimedia forensics (image/video tampering), and AI-assisted digital investigation platforms. All include IEEE base paper, code, report and viva support.

Which software tools are used for these MTech CSE projects?

Deep Learning: PyTorch, TensorFlow, Hugging Face, OpenCV, Detectron2, YOLO, Stable Diffusion. Digital Forensics: Autopsy, The Sleuth Kit, Volatility 3, Wireshark, NetworkMiner, YARA, Cuckoo Sandbox, FTK Imager, EnCase (academic), Bulk Extractor, Plaso. Supporting: Python, Scikit-learn, Pandas, Docker, Jupyter.

Are complete project packages provided?

Yes. Every project includes IEEE or top-conference 2026 base paper, complete source code, datasets or generation scripts, architecture/pipeline diagrams, university-format report (VTU, Anna University, JNTU), PPT (20–25 slides) and 50+ viva Q&A.

MTech Projects for Computer Science | Deep Learning & Digital Forensics MTech Project Topics 2026

Name: MTech Projects for Computer Science — Deep Learning & Digital Forensics 2026
Brand: ProjectsatBangalore
Rating: 4.9 (538 reviews)

MTech Projects for Computer Science — Deep Learning & Digital Forensics 2026

Computer Science MTech projects in 2026 strongly favour Deep Learning (Vision Transformers, Multimodal models, Generative AI) and Digital / Cyber Forensics (memory, network, malware, multimedia forensics and AI-assisted investigation). These domains offer high research value and excellent placement relevance.

Why choose these projects at ProjectsatBangalore?

IEEE / CVPR / NeurIPS / USENIX style base papers
Complete PyTorch / TensorFlow code
Forensic tool pipelines (Autopsy, Volatility, Wireshark)
Ready datasets or generation scripts
VTU / Anna / JNTU format reports
20–25 slide PPT + 50+ viva Q&A
Architecture & investigation flow diagrams
Mentoring via WhatsApp / Zoom

🧠

Deep Learning

ViTs, Multimodal LLMs, Diffusion models, Efficient transformers

🔍

Digital Forensics

Disk, Memory, Network, Multimedia & Mobile forensics

🦠

Malware & Threat

Static/Dynamic analysis, YARA, Cuckoo, PE analysis

🤖

AI for Forensics

Deepfake detection, AI-assisted investigation, GNN anomaly detection

Tools & Frameworks Used

Industry-standard Deep Learning libraries and Digital Forensics toolkits.

🔥PyTorch 🟠TensorFlow 🤗Hugging Face 📷OpenCV 🔍Autopsy / TSK 💾Volatility 3 📡Wireshark 🛡️YARA / Cuckoo

65+ Latest MTech Computer Science Project Topics (2026)

Deep Learning + Digital / Cyber Forensics focused topics with recommended tools. All projects include IEEE base paper, source code, report, PPT and viva support.

#	Project Title	Domain	Tools / Stack
🧠 Deep Learning & Computer Vision
1	Vision Transformer (ViT) based Medical Image Classification and Segmentation	CV / DL	PyTorch · timm · MONAI · ViT
2	Real-time Object Detection and Tracking with YOLOv8 / YOLOv9 on Edge Devices	CV	Ultralytics YOLO · OpenCV · TensorRT
3	Self-Supervised Learning for Image Representation with SimCLR / MAE	Self-Supervised	PyTorch · MAE · SimCLR · Lightly
4	Multimodal Vision-Language Model for Image Captioning and Visual QA	Multimodal	PyTorch · CLIP · BLIP-2 · LLaVA
5	Efficient Transformers for High-Resolution Image Segmentation (SegFormer / Mask2Former)	Segmentation	PyTorch · MMSegmentation · Detectron2
6	Few-Shot and Zero-Shot Learning for Rare Object Detection	Few-Shot	PyTorch · Detectron2 · CLIP
7	3D Object Detection and Point Cloud Processing with PointNet++ / Point Transformer	3D Vision	PyTorch · Open3D · PointNet++
8	Action Recognition in Videos using Temporal Transformers / SlowFast Networks	Video	PyTorch · MMAction2 · SlowFast
📝 NLP, Large Language Models & Multimodal
9	Domain-Adaptive Fine-Tuning of LLMs for Legal / Medical / Financial Text	LLM	Hugging Face · LoRA · PEFT · QLoRA
10	Retrieval-Augmented Generation (RAG) System with Vector Databases	RAG	LangChain · FAISS / Chroma · LlamaIndex
11	Aspect-Based Sentiment Analysis and Opinion Mining with Transformer Models	NLP	Hugging Face · BERT · RoBERTa · spaCy
12	Named Entity Recognition and Relation Extraction for Knowledge Graph Construction	IE	spaCy · Hugging Face · Neo4j
13	Multilingual Machine Translation with Efficient Transformer Architectures	MT	Fairseq · Hugging Face · OPUS
14	Instruction-Tuned Small Language Models for Edge Deployment	SLM	Hugging Face · LoRA · llama.cpp · GGUF
✨ Generative AI & Diffusion Models
15	Conditional Image Generation and Editing with Stable Diffusion / ControlNet	Diffusion	Diffusers · ControlNet · Stable Diffusion
16	Deepfake Detection using Spatio-Temporal and Frequency Domain Features	Deepfake	PyTorch · Xception · EfficientNet · FaceForensics++
17	Text-to-Image and Image-to-Image Synthesis with Latent Diffusion Models	GenAI	Diffusers · CompVis · Accelerate
18	Audio Deepfake Detection and Voice Spoofing Countermeasures	Audio Forensics	PyTorch · RawNet · AASIST · ASVspoof
19	Controllable Text Generation and Style Transfer with Large Language Models	Text Gen	Hugging Face · PEFT · Guidance
🔍 Digital Forensics & Disk / File System Analysis
20	Automated Disk Image Analysis and Timeline Reconstruction with Autopsy / TSK	Disk Forensics	Autopsy · The Sleuth Kit · Plaso
21	File Carving and Recovered Artifact Classification using Machine Learning	File Carving	PhotoRec · Scalpel · Python · scikit-learn
22	NTFS / EXT4 Journal and Metadata Forensics for Deleted File Recovery	FS Forensics	TSK · Autopsy · Custom parsers
23	Cloud Storage Forensics: Artifacts from Google Drive, Dropbox and OneDrive	Cloud Forensics	Autopsy · Browser Artifacts · API logs
24	Mobile Device Forensics: Android / iOS Logical and Physical Acquisition Analysis	Mobile	Autopsy · ADB · libimobiledevice · Andriller
💾 Memory Forensics
25	Windows / Linux Memory Dump Analysis with Volatility 3 for Malware Detection	Memory	Volatility 3 · Rekall · WinDbg
26	Process Hollowing and Code Injection Detection via Memory Forensics	Memory	Volatility · YARA · Custom plugins
27	Encrypted Memory Artifact Extraction and Ransomware Key Recovery	Memory	Volatility · Bulk Extractor · Strings
28	GPU Memory Forensics for Cryptocurrency Mining Malware Analysis	Advanced	Volatility · CUDA tools · Custom scripts
🌐 Network Forensics & Traffic Analysis
29	Network Traffic Anomaly Detection using Graph Neural Networks	Network + AI	PyTorch Geometric · Wireshark · CICFlowMeter
30	PCAP Analysis and Protocol Anomaly Detection with Wireshark + Machine Learning	Network	Wireshark · tshark · Scikit-learn · Zeek
31	DNS Tunneling and Covert Channel Detection using Deep Learning	Network	PyTorch · Zeek · Wireshark · PCAPs
32	Encrypted Traffic Classification without Decryption using Flow Features + DL	Encrypted Traffic	PyTorch · CIC-IDS · NFStream
33	IoT Network Forensics and Device Fingerprinting	IoT Forensics	Wireshark · Zeek · ML classifiers
🦠 Malware Analysis & Threat Intelligence
34	Static and Dynamic Malware Classification using CNNs and Transformers	Malware + DL	PyTorch · PEFile · Cuckoo · Ember
35	YARA Rule Generation and Automated Signature Creation for Malware Families	YARA	YARA · Cuckoo · VirusTotal API
36	Ransomware Behaviour Analysis and Decryption Key Recovery Techniques	Ransomware	Cuckoo · Volatility · IDA / Ghidra
37	Android Malware Detection using Static Permissions and Dynamic Behaviour	Mobile Malware	Androguard · CuckooDroid · PyTorch
38	Polymorphic and Metamorphic Malware Detection with Graph Embeddings	Advanced	PyTorch Geometric · Ghidra · NetworkX
39	Threat Intelligence Platform: IOC Extraction and Correlation from Reports	Threat Intel	MISP · OpenCTI · YARA · STIX/TAXII
🖼️ Multimedia & Image/Video Forensics
40	Image Forgery and Splicing Detection using Deep Learning and Noise Patterns	Image Forensics	PyTorch · Noiseprint · ManTra-Net · OpenCV
41	Video Tampering and Frame Deletion / Insertion Detection	Video Forensics	PyTorch · OpenCV · FFmpeg · Optical Flow
42	Source Camera Identification using Sensor Pattern Noise (PRNU)	Camera ID	Python · OpenCV · PRNU extraction
43	Deepfake Video Detection with Spatio-Temporal and Physiological Signals	Deepfake	PyTorch · FaceForensics++ · MesoNet · Xception
44	Steganalysis: Detection of Hidden Data in Images and Audio using CNNs	Steganalysis	PyTorch · SteganoGAN · SRNet
🤖 AI-Assisted Digital Forensics & Investigation
45	AI-Powered Timeline Reconstruction and Event Correlation for Investigations	AI Forensics	Plaso · Python · NLP · Graph analysis
46	Automated Artifact Triage and Relevance Ranking using Machine Learning	AI Forensics	Autopsy · scikit-learn · Custom ranking
47	Natural Language Query Interface for Forensic Databases (NL-to-SQL / Graph)	NL Interface	Hugging Face · LangChain · SQLite / Neo4j
48	Cross-Device Correlation of Artifacts using Graph Neural Networks	Graph + Forensics	PyTorch Geometric · Autopsy · Neo4j
49	Explainable AI for Malware Detection and Forensic Decision Support	XAI	SHAP · LIME · Captum · PyTorch
🚀 Advanced & Research-Oriented Topics
50	Federated Learning for Privacy-Preserving Malware Detection across Organisations	Federated	Flower · PyTorch · Differential Privacy
51	Adversarial Attacks and Defences on Deep Learning based Forensic Classifiers	Adversarial	Foolbox · ART · PyTorch
52	Continual / Lifelong Learning for Evolving Malware Families	Continual	PyTorch · Avalanche · EWC / Replay
53	Graph-based Detection of Advanced Persistent Threats (APT) from Logs and Traffic	APT	PyTorch Geometric · Zeek · Elastic
54	Multimodal Fusion for Social Media Forensics (Text + Image + Metadata)	Social Media	PyTorch · CLIP · Transformers · EXIF
55	Zero-Shot and Open-Set Recognition for Unknown Malware / Attack Detection	Open-Set	PyTorch · OpenMax · CLIP
56	Efficient On-Device Deep Learning for Mobile Forensics Triage	Edge AI	TensorFlow Lite · ONNX · MobileNet
57	Blockchain and Immutable Logging for Forensic Chain-of-Custody	Blockchain	Hyperledger / Ethereum · Hashing · Smart Contracts
58	Privacy-Preserving Digital Forensics with Homomorphic Encryption / Secure MPC	Privacy	PySyft · TenSEAL · MP-SPDZ
59	Large-Scale Log Mining and Anomaly Detection for Insider Threat Detection	Insider Threat	PyTorch · Elasticsearch · Spark
60	Synthetic Dataset Generation for Training Robust Forensic Classifiers	Data Gen	Diffusion · GANs · StyleGAN · Augmix
61	Cross-Modal Retrieval for Linking Text Reports to Multimedia Evidence	Retrieval	CLIP · FAISS · Hugging Face
62	Automated Report Generation for Digital Forensic Investigations using LLMs	LLM + Forensics	LangChain · Llama / Mistral · Templates
63	Real-time Malware Detection on Network Flows using Lightweight Neural Networks	Real-time	PyTorch · NFStream · ONNX Runtime
64	Forensic Analysis of Container and Kubernetes Runtime Environments	Cloud Native	Falco · Volatility · kubectl · CRI-O tools
65	End-to-End AI-Assisted Digital Investigation Platform (Ingestion → Analysis → Report)	Platform	Autopsy · Volatility · PyTorch · LangChain · Dashboard

★ All 65 MTech Computer Science project topics are sourced from IEEE Xplore, CVPR, ICCV, NeurIPS, ACL, USENIX Security, DFRWS, Digital Investigation journal and leading open-source forensic tool documentation (2022–2026). Each project includes the base paper, complete source code, datasets or generation scripts, architecture / investigation flow diagrams, university-format report for VTU / Anna University / JNTU, PPT (20–25 slides) and 50+ viva Q&A specific to the topic.

FAQ — MTech Computer Science Projects (DL + Forensics)

Top topics include Vision Transformers for medical imaging, Multimodal LLMs and RAG systems, Diffusion models and Deepfake detection, Memory forensics with Volatility 3, Network anomaly detection with GNNs, Malware classification using Transformers, Multimedia forgery detection, and end-to-end AI-assisted digital investigation platforms. All come with IEEE base paper, code, report, PPT and viva support.

Deep Learning: PyTorch, TensorFlow, Hugging Face, OpenCV, Detectron2, YOLO, Diffusers, timm. Digital Forensics: Autopsy, The Sleuth Kit, Volatility 3, Wireshark, Zeek, YARA, Cuckoo Sandbox, Plaso, Bulk Extractor. Supporting tools: Python, Scikit-learn, Pandas, Docker, Jupyter, Neo4j, FAISS.

Yes. Every project includes: (1) IEEE / CVPR / USENIX / DFRWS style base paper; (2) complete, well-commented source code; (3) datasets or generation scripts; (4) architecture and investigation-flow diagrams; (5) university-format report for VTU, Anna University, JNTU; (6) PPT (20–25 slides); and (7) 50+ viva Q&A covering theory, methods, tools and result interpretation.

Yes. Reports, synopses and presentations are customised for VTU, Anna University, JNTU, RGPV, PES, RV, Manipal, BITS, NIT and autonomous colleges. Chapter structure, abstract style and evaluation checklist are tailored on request.

Typical completion is 7–21 working days. Classic deep learning or tool-based forensics projects are ready in 5–12 days. Advanced generative AI, multimodal or full investigation-platform projects take 12–21 days. Contact +91 95919 12372 with your submission date for a personalised timeline.

Computer Science Project Lab — Bangalore

Deep Learning workstations with GPUs, Digital Forensics lab (Autopsy, Volatility, Wireshark, Cuckoo), malware analysis sandbox, and dedicated mentoring rooms for MTech and PhD CSE scholars.

GPU
Workstations

PyTorch · TensorFlow

Autopsy
& TSK

Disk Forensics

Volatility 3
Memory

Memory Forensics

Wireshark
& Zeek

Network Forensics

Cuckoo
Sandbox

Malware Analysis

YARA
& Signatures

Threat Intel

Deepfake
Detection

Multimedia Forensics

LLM / RAG
Pipelines

Generative AI

Report & PPT
Preparation

VTU / Anna / JNTU

Viva & Review
Sessions

MTech / PhD CSE