MCA Projects on AI and ML 2026 — Final Year MCA Artificial Intelligence & Machine Learning Projects with Source Code Bangalore
MCA final year projects on AI and ML are the most in-demand computer science projects for 2026 — spanning recommendation engine projects, fake news detection projects, fraud detection projects, chatbot projects (LangChain, GPT-4, RAG), resume screening projects, sentiment analysis projects, disease prediction projects, stock prediction projects, face recognition attendance projects, image classification projects, object detection projects, OCR projects, speech recognition projects and natural language processing (NLP) projects. At ProjectsatBangalore, we deliver 65+ MCA AI and ML projects with complete Python source code, Django / Flask / React / FastAPI web interface, trained model files, dataset, project report (VTU / Anna University / JNTU / SRM / Manipal format), PPT presentation and viva Q&A support.
All MCA projects on AI and ML are built using industry-standard tools — Python, TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn, OpenCV, NLTK, spaCy, LangChain, LlamaIndex, Django, Flask, FastAPI, React.js, MySQL, MongoDB, Firebase, AWS, Google Colab and Streamlit. These are suitable for MCA, BCA, M.Sc Computer Science, MCA Data Science and MCA AI specialisation final year students — both mini projects (quick and demo-ready) and major projects (research-quality, publishable).
MCA AI and ML Project Application Areas
- MCA recommendation system projects for e-commerce and OTT
- MCA fake news detection projects using BERT and NLP
- MCA fraud detection projects using AutoEncoder and XGBoost
- MCA chatbot projects using LangChain, GPT-4 and RAG
- MCA resume screening and job matching AI projects
- MCA sentiment analysis projects for product reviews and social media
- MCA disease prediction projects for healthcare using ML
- MCA stock price prediction projects using LSTM and sentiment
- MCA face recognition attendance management system projects
- MCA image classification projects using CNN and transfer learning
- MCA object detection projects using YOLO for surveillance
- MCA OCR projects for handwritten text and document digitisation
- MCA speech recognition projects using Whisper and DeepSpeech
- MCA NLP projects for text summarisation, QA and translation
MCA AI & ML Project Tools, Frameworks & Platforms
AI and ML tools and web frameworks used across all 14 MCA project domains — from data preprocessing and model training to web deployment and database integration.
Python 3.11
TensorFlow / Keras
PyTorch
Hugging Face Transformers
scikit-learn
Django / DRF
Flask / FastAPI
React.js
LangChain / RAG
OpenCV / YOLO
MySQL / PostgreSQL
MongoDB / Firebase
AWS / Google Cloud
Streamlit / Gradio
Google Colab / Jupyter
Java / Spring Boot
REST API / Postman
NLTK / spaCy / Gensim
65+ MCA Projects on AI and ML — Final Year 2026
14 AI and ML domains with 4–5 MCA project topics each — all with software tools listed. Level: MCA (standard), MCA Advanced (research-quality for distinction/publication). Contact us for source code, dataset, trained model, report and viva support.
Recommendation Engine Projects — MCA AI ML
Collaborative Filtering · Content-Based · Hybrid · Deep Learning Recommender · E-Commerce · OTT · Course Recommendation
| # | MCA AI ML Project Title — Recommendation Engine | Software Tools Used |
|---|---|---|
| 01 | Hybrid Collaborative + Content-Based Movie Recommendation System with Explainability Dashboard MCA | Pythonscikit-learnDjangoMySQLStreamlit |
| 02 | E-Commerce Product Recommendation Engine Using Matrix Factorisation (SVD) and User Behaviour Tracking MCA | Pythonscikit-surpriseFlaskMongoDBReact |
| 03 | Deep Learning-Based Book Recommendation System Using BERT Semantic Embeddings and Cosine Similarity Advanced | PythonHuggingFace BERTDjangoMySQLStreamlit |
| 04 | Job Recommendation System for LinkedIn-Style Portal Using TF-IDF and Skill-Gap Analysis MCA | Pythonscikit-learnFlaskMySQLReact |
| 05 | Online Course Recommendation System Using Knowledge Graph and Graph Neural Networks (GNN) Advanced | PythonPyTorch GeometricDjangoNeo4j |
Fake News Detection Projects — MCA AI ML
BERT · RoBERTa · Claim Verification · Social Media · Multimodal Misinformation · Explainable AI
| # | MCA AI ML Project Title — Fake News Detection | Software Tools Used |
|---|---|---|
| 06 | BERT-Based Fake News Detection System with LIME/SHAP Explainable AI for News Portals MCA | PythonHugging Face BERTSHAP/LIMEFlaskMySQL |
| 07 | Multi-Class Fake News Classifier Using RoBERTa and Fine-Tuning on LIAR and FakeNewsNet Datasets Advanced | PythonRoBERTaPyTorchDjangoStreamlit |
| 08 | Social Media Misinformation Detection Using Graph Convolutional Network on Twitter Propagation Tree Advanced | PythonPyTorch GeometricMongoDBFastAPIReact |
| 09 | Multimodal Fake News Detection Combining Text and Image Evidence Using Cross-Attention Transformer Advanced | PythonCLIP / VisualBERTPyTorchFlaskStreamlit |
| 10 | Real-Time Fact-Checking Web App for WhatsApp Forwards Using NLP Claim Extraction and Evidence Retrieval MCA | PythonHugging FaceLangChain RAGDjangoReact |
Fraud Detection Projects — MCA AI ML
Credit Card Fraud · Insurance Fraud · AutoEncoder Anomaly · XGBoost · Real-Time Stream · Federated Learning
| # | MCA AI ML Project Title — Fraud Detection | Software Tools Used |
|---|---|---|
| 11 | Real-Time Credit Card Fraud Detection Using AutoEncoder Anomaly Detection and XGBoost Ensemble MCA | PythonTensorFlow AutoEncoderXGBoostDjangoMySQL |
| 12 | Insurance Claim Fraud Detection Using Gradient Boosting and Network Graph Analysis MCA | Pythonscikit-learnXGBoostFlaskMongoDB |
| 13 | Federated Learning Framework for Bank Fraud Detection Without Sharing Raw Transaction Data Advanced | PythonTensorFlow FederatedDjangoPostgreSQLReact |
| 14 | E-Commerce Return Fraud Detection Using Behavioural Biometrics and Machine Learning MCA | Pythonscikit-learnLightGBMFastAPIMongoDB |
| 15 | Stream-Based Real-Time UPI Transaction Fraud Detection Using Apache Kafka and LSTM Advanced | PythonTensorFlow LSTMApache KafkaFlaskMongoDB |
Chatbot Projects — MCA AI ML
LLM · LangChain · RAG · Domain-Specific · Healthcare · Customer Support · GPT-4 · Gemini · Voice Bot
| # | MCA AI ML Project Title — Chatbot | Software Tools Used |
|---|---|---|
| 16 | RAG-Based Domain-Specific Chatbot for College Admissions Using LangChain, Pinecone and GPT-4 Advanced | PythonLangChain + GPT-4Pinecone VectorDBFlaskReact |
| 17 | Healthcare Symptom Checker Chatbot Using Medical NER and Ontology-Guided Dialogue System MCA | PythonBioBERTLangChainDjangoMongoDB |
| 18 | Multilingual Customer Support Chatbot Using Gemini API with Automatic Language Detection and Fallback MCA | PythonGemini / GPT-4DjangoMySQLReact |
| 19 | Voice-Enabled AI Chatbot for Railway Enquiry Using Whisper STT and Text-to-Speech with Flask API MCA | PythonOpenAI WhisperLangChainFlaskReact |
| 20 | MCA AI Project: Agentic LLM Chatbot for Automated Database Query Answering (Text-to-SQL) Using LlamaIndex Advanced | PythonLlamaIndexPostgreSQLFastAPIReact |
Resume Screening Projects — MCA AI ML
BERT NER · Job-Candidate Matching · Skill Extraction · Bias Detection · ATS Portal · Career Recommendation
| # | MCA AI ML Project Title — Resume Screening | Software Tools Used |
|---|---|---|
| 21 | AI-Powered Resume Screening and Candidate Ranking System Using BERT Skill Extraction and TF-IDF Matching MCA | PythonBERT NERscikit-learnDjangoMySQL |
| 22 | Automated Job Description to Resume Matching Portal Using Semantic Similarity (Sentence-BERT) MCA | PythonSBERTFlaskReactMySQL |
| 23 | Bias-Aware Resume Screening System Using Fairness-Constrained Machine Learning for Gender and Age Neutrality Advanced | PythonHugging FaceFairlearnDjangoMongoDB |
| 24 | MCA Full-Stack ATS (Applicant Tracking System) with AI Resume Parser, Skill Gap Analyser and Interview Scheduler MCA | PythonBERTDjangoReactPostgreSQL |
| 25 | Career Path Recommendation System for Freshers Using Resume Analysis and Labour Market Trend Prediction Advanced | PythonHugging Facescikit-learnFlaskStreamlit |
Sentiment Analysis Projects — MCA AI ML
Product Reviews · Twitter · Multi-Aspect · Sarcasm Detection · Multilingual · Real-Time Dashboard
| # | MCA AI ML Project Title — Sentiment Analysis | Software Tools Used |
|---|---|---|
| 26 | Multi-Aspect Sentiment Analysis for Amazon Product Reviews Using RoBERTa and Aspect Category Detection Advanced | PythonRoBERTaPyTorchDjangoStreamlit |
| 27 | Real-Time Twitter / X Sentiment Dashboard for Brand Monitoring Using Tweepy API and VADER MCA | PythonVADER/TextBlobTweepy APIFlaskStreamlit |
| 28 | Sarcasm Detection in Social Media Comments Using Contextual BERT and Linguistic Features MCA | PythonBERTPyTorchFlaskMongoDB |
| 29 | Multilingual Movie Review Sentiment Analysis Supporting Hindi, Tamil and English Using XLM-RoBERTa Advanced | PythonXLM-RoBERTaDjangoMySQLReact |
| 30 | MCA Sentiment Analysis Project: Government Policy Feedback Portal with NLP Sentiment Scoring and Report Generation MCA | PythonDistilBERTDjangoMySQLReact |
Disease Prediction Projects — MCA AI ML
Diabetes · Heart Disease · Cancer · COVID-19 · Mental Health · EHR · Drug Recommendation · Multi-Disease
| # | MCA AI ML Project Title — Disease Prediction | Software Tools Used |
|---|---|---|
| 31 | Multi-Disease Prediction System (Diabetes, Heart Disease, Kidney Disease) from EHR Data Using Ensemble ML MCA | PythonXGBoost/RFscikit-learnDjangoMySQL |
| 32 | Breast Cancer Malignancy Prediction Using Convolutional Neural Network on Mammogram Images Advanced | PythonTensorFlow CNNOpenCVFlaskStreamlit |
| 33 | Mental Health Depression Screening Web App Using NLP Analysis of Social Media Posts and Clinical Questionnaire MCA | PythonBERTscikit-learnDjangoReact |
| 34 | Drug-Drug Interaction Prediction for Polypharmacy Patients Using Graph Neural Network on Medical Knowledge Graph Advanced | PythonPyTorch GeometricNeo4jFlaskStreamlit |
| 35 | MCA Healthcare Project: Hospital Readmission Risk Prediction Using Federated Machine Learning on Patient Records Advanced | PythonTensorFlow FederatedDjangoPostgreSQLReact |
Stock Prediction Projects — MCA AI ML
LSTM · Prophet · Sentiment-Fusion · Crypto · Reinforcement Learning · Technical Indicators · MCA Data Science Projects
| # | MCA AI ML Project Title — Stock / Price Prediction | Software Tools Used |
|---|---|---|
| 36 | LSTM-Based Stock Price Prediction System with Twitter Sentiment Integration and OHLCV Technical Indicators MCA | PythonTensorFlow LSTMTweepyFlaskStreamlit |
| 37 | Cryptocurrency Price Forecasting Using Temporal Fusion Transformer (TFT) and On-Chain Metrics Advanced | PythonPyTorch ForecastingDjangoStreamlitMongoDB |
| 38 | Algorithmic Stock Trading Bot Using Reinforcement Learning (PPO) and OpenAI Gym FinRL Environment Advanced | PythonFinRL / PyTorchFlaskStreamlitMongoDB |
| 39 | Stock Market Crash Prediction Using News Headline Sentiment Analysis and BERT with Macro-Economic Features MCA | PythonFinBERTscikit-learnFlaskStreamlit |
| 40 | MCA Data Science Project: Mutual Fund NAV Prediction Dashboard Using Prophet and Monte Carlo Simulation MCA | PythonProphet / NumPyFlaskStreamlitMySQL |
Face Recognition Attendance Projects — MCA AI ML
FaceNet · DeepFace · Anti-Spoofing · Multi-Camera · Masked Face · Live Attendance · Emotion Detection
| # | MCA AI ML Project Title — Face Recognition / Attendance | Software Tools Used |
|---|---|---|
| 41 | Face Recognition-Based Automated Attendance Management System Using FaceNet, OpenCV and Django Web Portal MCA | PythonOpenCV + FaceNetDjangoMySQLReact |
| 42 | Anti-Spoofing Face Liveness Detection for Secure Attendance Using 3D Depth Map and Silent Face Challenge Advanced | PythonTensorFlowOpenCVFlaskMySQL |
| 43 | Masked Face Recognition System Using Occlusion-Robust Deep Learning for Post-COVID Attendance Monitoring MCA | PythonPyTorchOpenCVDjangoMySQL |
| 44 | Student Emotion and Engagement Detection During Online Classes Using Facial Action Coding System (FACS) Advanced | PythonDeepFace / MediaPipeTensorFlowFlaskReact |
| 45 | Multi-Camera Face Recognition Attendance System for Large Classrooms Using FAISS Vector Similarity Search Advanced | PythonFaceNet + FAISSDjangoMongoDBReact |
Image Classification Projects — MCA AI ML
CNN · EfficientNet · ResNet · ViT · Skin Lesion · Plant Disease · Waste Classification · Medical X-Ray
| # | MCA AI ML Project Title — Image Classification | Software Tools Used |
|---|---|---|
| 46 | Multi-Label Skin Lesion Classification Using EfficientNet-B4 and Grad-CAM Visualisation for Dermatology AI Advanced | PythonPyTorch EfficientNetOpenCVFlaskStreamlit |
| 47 | Plant Leaf Disease Classification Web App Using VGG-16 Transfer Learning for Smart Farming MCA | PythonTensorFlow VGG-16OpenCVDjangoMySQL |
| 48 | Solid Waste Segregation AI System Using MobileNetV3 and Raspberry Pi Camera for Smart Dustbin MCA | PythonMobileNetV3OpenCVFlaskMongoDB |
| 49 | Chest X-Ray Pneumonia and COVID-19 Detection Using Vision Transformer (ViT) with GradCAM Explanation Advanced | PythonViT (Hugging Face)PyTorchFlaskStreamlit |
| 50 | Fashion Product Image Classification for E-Commerce Using ResNet-50 and Multi-Tag Attribute Labelling MCA | PythonTensorFlow ResNet-50DjangoMongoDBReact |
Object Detection Projects — MCA AI ML
YOLOv9 · DETR · Crowd Counting · Vehicle Detection · PPE Compliance · Weapon Detection · Surveillance
| # | MCA AI ML Project Title — Object Detection | Software Tools Used |
|---|---|---|
| 51 | Real-Time PPE (Helmet, Vest, Gloves) Compliance Detection for Construction Sites Using YOLOv9 and CCTV Advanced | PythonYOLOv9 + OpenCVFlaskMongoDBReact |
| 52 | Weapon Detection in Surveillance Video Using YOLOv8 with Automatic Alert System Integration Advanced | PythonYOLOv8 + OpenCVDjangoMongoDBTwilio SMS |
| 53 | Smart Parking Slot Occupancy Detection System Using Aerial CCTV Feed and YOLOv9 with IoT Dashboard MCA | PythonYOLOv9FlaskStreamlitMongoDB |
| 54 | Crowd Density Estimation and Flow Analysis for Smart City Events Using CSRNet and Heatmap Overlay Advanced | PythonPyTorch CSRNetOpenCVFlaskStreamlit |
OCR Projects — MCA AI ML
TrOCR · Tesseract · Handwritten Text · Document Digitisation · Invoice OCR · Hindi OCR · Medical Prescription
| # | MCA AI ML Project Title — OCR | Software Tools Used |
|---|---|---|
| 55 | Handwritten Text Recognition OCR for Historical Document Digitisation Using Microsoft TrOCR Transformer Advanced | PythonTrOCR (Hugging Face)OpenCVFlaskStreamlit |
| 56 | AI-Powered Invoice / Receipt OCR and Data Extraction System Using Donut (Document Understanding Transformer) MCA | PythonDonut ModelOpenCVDjangoMySQL |
| 57 | Medical Prescription OCR and Drug Information Lookup System Using Tesseract and NLP Named Entity Recognition MCA | PythonTesseract OCRspaCy NERFlaskMySQL |
| 58 | Multi-Language OCR for Government Document Digitisation (Hindi, Kannada, Tamil) Using EasyOCR and Bhashini API MCA | PythonEasyOCRIndicNLPDjangoMongoDB |
Speech Recognition Projects — MCA AI ML
Whisper · DeepSpeech · Indian Languages · Voice Command · Audio Classification · Speaker Diarisation
| # | MCA AI ML Project Title — Speech Recognition | Software Tools Used |
|---|---|---|
| 59 | Automatic Speech Recognition System for Indian Regional Languages (Hindi, Telugu, Kannada) Using OpenAI Whisper MCA | PythonOpenAI WhisperFlaskReactMongoDB |
| 60 | Real-Time Voice-Controlled Hospital Management System Using Whisper STT and Intent Classification NLP MCA | PythonWhisper + spaCyDjangoMySQLReact |
| 61 | Audio Deepfake Detection System Using Spectral Features and Deep Learning to Identify Synthetic Voice Advanced | PythonPyTorchLibrosaFlaskStreamlit |
| 62 | Speaker Diarisation System for Multi-Person Meeting Transcription Using Pyannote and Whisper Advanced | PythonWhisperPyannote (HF)FlaskMongoDB |
Natural Language Processing (NLP) Projects — MCA AI ML
Text Summarisation · QA System · Machine Translation · Document Clustering · Legal NLP · Code Generation · MCA NLP Projects
| # | MCA AI ML Project Title — NLP / Natural Language Processing | Software Tools Used |
|---|---|---|
| 63 | Abstractive Text Summarisation System for Research Papers Using BART and T5 Transformer Models Advanced | PythonBART / T5 (HuggingFace)FlaskStreamlitMongoDB |
| 64 | Legal Document Question Answering System Using LangChain, FAISS Vector Store and GPT-4 for Law Firms Advanced | PythonLangChain + GPT-4FAISSFastAPIReact |
| 65 | Multilingual Neural Machine Translation for Low-Resource Indian Languages Using mBART and IndicTrans2 Advanced | PythonmBART / IndicTrans2DjangoReactMongoDB |
| 66 | AI Code Review and Explanation Tool Using CodeLlama for Python/Java Projects with GitHub Integration Advanced | PythonCodeLlama (HF)LangChainFastAPIReact |
| 67 | Customer Complaint Classification and Auto-Routing System for Telecom Using Zero-Shot NLP and LLM MCA | PythonZero-Shot BART (HF)DjangoMySQLReact |
All 67 MCA AI and ML project topics are aligned with IEEE Xplore 2026 publications and real-world industry applications. Contact us via WhatsApp to receive the IEEE base paper, Python source code, trained model files, dataset, Django/Flask/React web app, project report (VTU / Anna University / JNTU format), PPT presentation and viva Q&A for any topic above. Custom MCA AI ML topics are also accepted — share your domain, preferred tools and deadline and we will suggest the best project within 30 minutes.
MCA AI & ML Project — 2026
2026 Latest MCA AI and ML project for MCA, BCA and M.Sc CS final year students for their project submission.
✅ MCA Projects on AI and ML 2026
✅ MCA Artificial Intelligence Projects
✅ MCA Machine Learning Projects
✅ MCA Final Year AI Projects with Source Code
✅ MCA Deep Learning Projects
✅ MCA Python AI ML Projects
✅ MCA Django Projects AI
✅ MCA Flask Projects ML
✅ MCA React Full Stack AI Projects
✅ MCA Recommendation System Projects
✅ MCA Fake News Detection Projects
✅ MCA Fraud Detection Projects
✅ MCA Chatbot Projects LangChain GPT
✅ MCA Resume Screening AI Projects
✅ MCA Sentiment Analysis Projects
✅ MCA Disease Prediction Projects
✅ MCA Stock Prediction Projects LSTM
✅ MCA Face Recognition Attendance Projects
✅ MCA Image Classification Projects CNN
✅ MCA Object Detection Projects YOLO
✅ MCA OCR Projects Handwritten Text
✅ MCA Speech Recognition Projects Whisper
✅ MCA NLP Projects BERT RoBERTa
✅ MCA Data Science Projects
✅ MCA Data Analytics Projects
✅ MCA Healthcare AI Projects
✅ MCA E-Commerce AI Projects
✅ MCA Major Projects AI ML Bangalore
✅ MCA Mini Projects AI ML Python
✅ MCA Projects PDF with Source Code
✅ MCA Academic Research AI Projects
✅ MCA Internship Projects AI ML
Frequently Asked Questions — MCA Projects on AI and ML
Best MCA projects on AI and ML for final year 2026 include: RAG-Based College Admission Chatbot (LangChain + GPT-4), Real-Time Credit Card Fraud Detection (AutoEncoder + XGBoost), BERT-Based Fake News Detection with Explainability (LIME/SHAP), Multi-Disease Prediction System from EHR Data (XGBoost ensemble), Face Recognition Attendance System with Anti-Spoofing (FaceNet + OpenCV), Hybrid Recommendation Engine for E-Commerce (BERT + Collaborative Filtering), LSTM Stock Prediction with Twitter Sentiment (TensorFlow + FinBERT), Multi-Language OCR for Document Digitisation (TrOCR + EasyOCR), Student Emotion Detection During Online Classes (DeepFace + TensorFlow), and Legal Document QA System (LangChain + FAISS + GPT-4). All include Python source code, Django/Flask web app, report and viva support.
MCA AI and ML projects use Python as the primary language with TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face Transformers, OpenCV, LangChain, LlamaIndex, NLTK, spaCy and XGBoost for the AI/ML layer. Web frameworks include Django, Flask, FastAPI and React.js. Databases include MySQL, PostgreSQL, MongoDB and Firebase. Cloud deployment uses AWS or Google Cloud. Demo tools include Streamlit and Gradio. For MCA mobile app AI projects, Android Studio with TFLite or Python Flask backend is used. The exact stack depends on the project type — chatbot projects use LangChain + GPT-4, image projects use PyTorch + OpenCV, and NLP projects use Hugging Face Transformers.
MCA mini projects in AI and ML are smaller, demo-ready projects completed in 5–10 days — typically a single model (e.g. sentiment analysis, disease prediction, face recognition) with a Streamlit or Flask web interface. MCA major projects are comprehensive, full-stack AI applications with a multi-module architecture (user panel, admin panel, database, trained model API, REST backend and React frontend) that take 15–25 days. Major projects are suitable for distinction-level submissions, research publications or internship portfolio showcases. We offer both — WhatsApp us with your deadline and university guidelines to select the right scope.
Yes. All MCA AI and ML project reports and documentation are prepared as per VTU, Anna University, JNTU Hyderabad, JNTU Kakinada, SRM, Manipal, Amrita, Symbiosis and all autonomous college formats. We customise the abstract, chapter structure (Introduction, Literature Review, System Design, Implementation, Testing, Conclusion), software specification section and IEEE/APA references to match your university's project report template. Just share your university format when contacting us.
Yes. Research-level MCA AI and ML projects (labelled "Advanced" above) are designed to produce publication-quality results suitable for IEEE Access, Elsevier Expert Systems with Applications, Elsevier Computers in Biology and Medicine, Springer Journal of Intelligent Information Systems and other Scopus/SCI-indexed journals. We provide full manuscript writing, LaTeX formatting in IEEE two-column format, plagiarism correction (Turnitin / iThenticate, below 10%) and journal submission guidance as an add-on service.
Typical MCA AI and ML project completion: mini projects (sentiment analysis, basic disease prediction, simple chatbot) — 5–8 working days; standard MCA projects (face recognition attendance, recommendation engine, stock prediction with dashboard) — 10–15 working days; advanced/research-quality major projects (federated fraud detection, RAG chatbot with FAISS, multi-camera face recognition, multimodal fake news detection) — 18–25 working days. Express delivery is available for urgent university deadlines — WhatsApp us at +91 95919 12372 with your submission date and project type.
MCA AI & ML Project Lab — Bangalore
Inside our dedicated MCA AI and ML project development lab in Bangalore — GPU-enabled Python/TensorFlow/PyTorch workstations, Hugging Face model servers, LangChain RAG development rigs, OpenCV computer vision benches, full-stack Django/React development stations and demo deployment servers for MCA, BCA and M.Sc CS students.
Deep Learning / TensorFlow Lab
NLP / Chatbot / LLM Projects
Computer Vision / Face Recognition
Healthcare AI / Disease Prediction
Sentiment / Fraud Detection
Stock Prediction / Recommendation
OCR / Speech Recognition
Full Stack AI Django / React