You will get AI-based scene understanding and smart video content tagging
Top Rated
Project details
This project delivers an automated Vision AI tool that intelligently understands and tags video scenes using Python, OpenCV, FFmpeg, VLLMs, Vision AI, and OCR. It detects scene types like interviews, action sequences, overlays, and transitions, no manual scanning required.
The system analyzes each video file and generates structured, timestamped tags (JSON or visual logs), helping broadcasters, content creators, and post-production teams make faster decisions.
Includes customizable tagging categories, bulk processing, and clean output organization. Perfect for smart content review, metadata extraction, or media archive tagging.
The system analyzes each video file and generates structured, timestamped tags (JSON or visual logs), helping broadcasters, content creators, and post-production teams make faster decisions.
Includes customizable tagging categories, bulk processing, and clean output organization. Perfect for smart content review, metadata extraction, or media archive tagging.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Multilayer Perceptron, Multimodal Large Language Model, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Video, AIOps, Automatic Speech Recognition, Image Analysis, Natural Language Generation, Neural Machine Translation, Object LocalizationAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Jasper AI, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
BLOOM, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, Jurassic-2, LLaMA, Midjourney AI, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 8 days |
Number of Revisions | 1 | 2 | 1 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | |
Setup File | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $200
Additional Revision
+$50
66 reviews
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SK
Samet Can K.
May 8, 2026
30 minute consultation
Meer is a truly outstanding professional. He provided me with a far more detailed and comprehensive work plan than I initially expected. The level of effort and depth he delivered exceeded my expectations. Every single one of my questions was answered clearly and professionally. Highly recommended.
MG
Mohamad G.
Apr 14, 2026
AI COCOA SOLUTIONS
Exceptional work, clear communication, and outstanding results, highly recommend and looking forward to collaborating further
LC
Livia C.
Mar 24, 2026
Text analysis in 4 colab notebooks
SS
Saqib S.
Dec 19, 2025
AI Business Incubator SAAS
Working with Meer on our AI Business Incubator SAAS was an absolute pleasure! He delivered exceptional work from start to finish, demonstrating strong technical skills and excellent communication throughout the project. The end result exceeded our expectations, and I wouldn't hesitate to work with him again. Highly recommended for anyone looking for a reliable and talented developer!
VC
Victor C.
Jul 2, 2025
LLM product developer with experience in RAG
Moazzam was instrumental in the success of our BRAIN project, an advanced virtual analyst powered by AI. He showed deep technical expertise across both backend and frontend development, as well as a strong understanding of machine learning and intelligent agent workflows.
His code was clean, well-structured, and thoughtfully designed. Moazzam consistently contributed beyond expectations — proposing smart architectural decisions, solving complex problems independently, and always delivering on time. His attitude was professional, solution-oriented, and collaborative at all times.
A true asset to any AI or data-intensive development project. We’d gladly work with him again.
His code was clean, well-structured, and thoughtfully designed. Moazzam consistently contributed beyond expectations — proposing smart architectural decisions, solving complex problems independently, and always delivering on time. His attitude was professional, solution-oriented, and collaborative at all times.
A true asset to any AI or data-intensive development project. We’d gladly work with him again.
About Meer
Full Stack AI Engineer | LLM, GenAI, Agentic AI & ML Expert
100%
Job Success
Lahore, Pakistan - 3:39 pm local time
GENERATIVE AI & LLMs
I build intelligent systems powered by GPT 4o, Claude, Gemini, LLaMA, Mistral, Cohere, IBM Watsonx, and Amazon Bedrock. My expertise covers:
• Custom LLM application development: chatbots, AI assistants, code synthesis, content generation
• RAG Pipelines: LangChain, LlamaIndex, Langfuse, ChromaDB, FAISS, Milvus, Weaviate, Pinecone
• Agentic AI & Multi Agent Systems: AutoGen, CrewAI, LangGraph for autonomous task orchestration
• Prompt Engineering & Fine Tuning: optimized prompts for structured output, task completion, and domain-specific performance
• AI Automation & Workflow Integration: n8n, Make (Integromat), Zapier, UiPath for end to end business automation
MACHINE LEARNING & DEEP LEARNING
I architect and deliver full ML lifecycle solutions with a focus on performance and scalability:
• Neural Networks: CNNs, RNNs, LSTMs, and Transformers (BERT, GPT, T5)
• Frameworks: TensorFlow, PyTorch, Keras, JAX, Scikit learn, XGBoost, LightGBM
• Model Optimization: transfer learning, data augmentation, hyperparameter tuning (Optuna, Katib)
• MLOps & Deployment: Docker, Kubernetes, Jenkins, GitLab CI/CD, MLflow, Weights & Biases, DVC, Prometheus, Grafana
COMPUTER VISION
I deliver high performance, realtime vision systems for demanding applications:
• Object detection & tracking: YOLOv8, OpenCV, MediaPipe
• Facial recognition & analysis: DeepFace, Dlib, MTCNN
• Action recognition: 3D CNNs, LSTMs
• Advanced preprocessing: Albumentations, imgaug
PREDICTIVE ANALYTICS & DATA VISUALIZATION
• Time Series Forecasting: ARIMA, Prophet, LSTM models for demand and sales prediction
• Dashboards: Power BI, Tableau, Plotly Dash interactive KPI and trend surfaces
• Statistical Analysis: A/B testing, regression modeling, hypothesis testing
FULL STACK AI DEVELOPMENT
I build complete, production ready platforms with AI at their core:
• Backend: FastAPI, Flask, Django, Node.js, Express.js secure RESTful APIs and AI inference endpoints
• Frontend: React.js, Next.js, Vue.js, Tailwind CSS, responsive dashboards, chat UIs, and AI tools
• Databases: PostgreSQL, MongoDB, Firebase, Redis
• Cloud & DevOps: AWS, GCP, Azure, Docker, GitHub Actions, Kubernetes, serverless: 99.9%+ uptime
KEY TECHNOLOGIES AT A GLANCE
Python · FastAPI · Flask · Django · Node.js · TypeScript
PyTorch · TensorFlow · Keras · JAX · XGBoost · LightGBM
OpenAI API · Anthropic Claude · Google Gemini · Meta LLaMA · Mistral · Amazon Bedrock · IBM Watsonx
LangChain · LlamaIndex · LangGraph · CrewAI · AutoGen · Langfuse
ChromaDB · FAISS · Milvus · Weaviate · Pinecone · Elasticsearch
OpenCV · YOLOv8 · MediaPipe · DeepFace · Dlib · Albumentations
n8n · Make · Zapier · UiPath · Automation Anywhere
AWS · GCP · Azure · Docker · Kubernetes · GitHub Actions · GitLab CI/CD
Whether you need an LLM powered product, an agentic AI workflow, a real time computer vision system, or a scalable full-stack AI platform. I deliver high impact, production ready solutions end to end.
Let's connect and build something remarkable.
Steps for completing your project
After purchasing the project, send requirements so Meer can start the project.
Delivery time starts when Meer receives requirements from you.
Meer works on your project following the steps below.
Revisions may occur after the delivery date.
Define Tagging Schema
We finalize the categories or events to detect in the video (e.g., scenes, overlays, transitions).
Process Video with Vision AI
The system analyzes video using OpenCV, YOLO, VLLMs, OCR, and logic-based tagging for scene comprehension.