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2026 Multimodal AI Projects · Vision-Language · Audio · Video · Document AI

Multimodal AI Projects

Best final-year topics on multimodal AI — vision-language models (LLaVA, CLIP), multimodal RAG, video understanding, audio-language systems, document AI and cross-modal retrieval for BE, BTech and MTech students.

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Multimodal Topics
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2026
Research Aligned
Vision-Language Multimodal RAG Video Understanding Audio-Language Document AI Evaluation

Multimodal Agentic AI Projects

Multimodal AI Projects — Vision, Language, Audio & Video Together

Multimodal systems connect text with images, audio or video. Final-year projects that build VQA pipelines, multimodal RAG over real documents, video QA, or cross-modal retrieval produce strong, demonstrable results aligned with current research and product directions.

Below are best topics across vision-language models, multimodal RAG, video, audio-language, document AI and evaluation, with tools used in industry and university labs (Hugging Face, CLIP, LLaVA-style VLMs, Whisper, Diffusers, LlamaIndex).

Hugging Face CLIP LLaVA / VLMs Diffusers LlamaIndex Whisper
# Multimodal AI Project Topic Tools Used
👁️ Vision-Language Models — VQA · Captioning · Grounding
01VLMVisual Question Answering Pipeline with Open Vision-Language ModelLLaVA / Qwen-VL, HF Transformers
02VLMImage Captioning and Dense Description with Evaluation MetricsBLIP / LLaVA, CIDEr / BLEU
03VLMReferring Expression / Grounded Object LocalisationGrounding DINO, SAM optional
04VLMZero-Shot Image Classification and Retrieval with CLIPCLIP, FAISS, custom gallery
05VLMInstruction-Tuned VLM Demo for Custom Domain ImagesLLaVA-style, PEFT optional, Gradio
06VLMChart and Diagram Understanding with Vision-Language ModelsOpen VLM, structured prompts
07VLMMulti-Image Reasoning (Compare, Order, Aggregate)Multi-image VLM APIs or open weights
📚 Multimodal RAG — Documents with Text, Tables & Images
08RAGMultimodal RAG over PDFs (Text + Figures + Tables)LlamaIndex, OCR, CLIP embeddings
09RAGImage + Text Hybrid Retrieval for Grounded AnswersCLIP, vector DB, LLM generator
10RAGSlide / Presentation Q&A from Multimodal Slide Deck CorpusLlamaIndex, layout parse, VLM
11RAGCitation-Aware Multimodal RAG with Source HighlightingLangChain/LlamaIndex, UI
12RAGEvaluation of Multimodal Retrieval (Recall@K, Faithfulness)Custom metrics, RAGAS-style
🎬 Video Understanding
13VideoVideo Question Answering with Frame Sampling + VLMOpen VLM, OpenCV, frame select
14VideoTemporal Event Detection and Summarisation of Short ClipsVideo models / VLM per segment
15VideoAction Recognition Pipeline with Optional Language LabelsVideo backbone, CLIP optional
16VideoVideo-to-Text Summary and Keyframe Extraction DemoVLM, clustering, Gradio
17VideoMultimodal Search: Retrieve Video Segments from Text QueryCLIP / video embeddings, index
🔊 Audio-Language Systems
18AudioSpeech-to-Text + LLM Pipeline for Meeting / Lecture SummariesWhisper, LLM, chunking
19AudioAudio Event Detection with Language Description of EventsAudio classifiers, LLM caption
20AudioSpoken Question Answering over a Knowledge BaseWhisper, RAG, TTS optional
21AudioMultimodal Emotion / Sentiment from Speech + TranscriptAudio features, text model
22AudioVoice Command Interface Controlling a Vision or RAG AgentWhisper, LangGraph, tools
📄 Document AI & Layout Understanding
23DocDocument Layout Analysis and Region ClassificationLayout models, Detectron/YOLO style
24DocTable Extraction and Question Answering over TablesTable parsers, VLM / LLM
25DocForm / Invoice Field Extraction with Vision + LanguageOCR, layout, structured LLM out
26DocScanned Document Understanding Pipeline (OCR → Structure → QA)OCR, LlamaIndex, VLM
27DocScientific Paper Figure and Caption GroundingVLM, PDF figure extract
🎨 Generation & Cross-Modal Creation
28GenText-to-Image Generation with Controlled Prompts and EvalDiffusers, Stable Diffusion
29GenImage Editing with Instruction-Following ModelsInstructPix2Pix / similar, Diffusers
30GenText-Guided Image Retrieval then Edit PipelineCLIP, Diffusers
31GenMultimodal Story Generation (Text + Consistent Illustrations)LLM + Diffusers, consistency tricks
📊 Evaluation · Benchmarks · Systems
32EvalVQA Accuracy and Robustness Benchmark on a Domain DatasetOpen VLM, custom questions
33EvalCross-Modal Retrieval Metrics (Recall@K, mAP) for CLIP VariantsCLIP, FAISS, eval scripts
34EvalHallucination and Grounding Analysis in VLM AnswersHuman/LLM judge, grounding checks
35EvalLatency and Cost Profile of Multimodal PipelinesProfiling, token/image costs
36EvalComparative Study of Open VLMs on a Fixed Task SuiteMultiple HF models, same prompts
🔬 Applied & Research-Oriented Topics
37AppliedAssistive Scene Description for AccessibilityVLM, TTS, mobile-friendly demo
38AppliedEducational Content Analyzer (Slides + Notes → Quiz / Summary)Multimodal RAG, LLM
39AppliedRetail / Shelf Monitoring Concept with Vision + Language ReportsDetection + VLM summary
40ResearchAblation of Modality Contribution in Multimodal RAGControlled corpus, metrics
41ResearchPrompt Sensitivity and Few-Shot Behaviour of VLMsSystematic prompt suite
42ResearchReproducible Multimodal Experiment Protocol for Student ProjectsConfigs, seeds, logging

Topics reflect current open multimodal models and university-friendly stacks. Contact us for reference material, scripts, evaluation setup, university-format report, PPT and viva Q&A for any topic above.

Why Choose Us for Multimodal AI Projects?

Bangalore-based guidance for BE, BTech and MTech students working on vision-language, audio and document AI systems.

Vision-Language

VQA, captioning, grounding and CLIP retrieval with open VLMs and clear evaluation.

Multimodal RAG

PDF and slide pipelines that retrieve text, tables and figures for grounded answers.

Video & Audio

Video QA, summarisation, Whisper + LLM pipelines and speech-driven agents.

Document AI

Layout analysis, table QA, form extraction and scientific figure grounding.

Frequently Asked Questions — Multimodal AI Projects

Top topics include vision-language VQA and captioning, multimodal RAG over documents with figures, video QA and summarisation, Whisper + LLM pipelines, document layout and table QA, CLIP cross-modal retrieval, and systematic multimodal evaluation.
Hugging Face Transformers and Diffusers, CLIP, LLaVA / Qwen-VL and similar open VLMs, Whisper, SAM / Grounding DINO, LlamaIndex and LangChain multimodal loaders, FAISS/Chroma, and Gradio/Streamlit for demos.
Yes. Packages include reference material, inference or light fine-tuning scripts, dataset notes, evaluation metrics, demo UI, university-format report, PPT and viva Q&A.
Multimodal AI models process and relate more than one data type — typically text + images, and often audio or video. Examples include VLMs that answer questions about images, systems that retrieve images from text, and pipelines that understand documents with text, tables and figures together.