You will get a AI movie recommendation system | CineAI
Rising Talent
Project details
CineAI is an AI-powered movie recommendation system designed to help users discover films that match their unique preferences, mood, and viewing history. Using advanced machine learning algorithms and natural language processing, CineAI analyzes user behavior, ratings, and interests to generate personalized recommendations in real time.
The system goes beyond simple genre-based suggestions by considering factors like themes, actors, directors, trending content, and even user sentiment. CineAI can integrate with streaming platforms, mobile apps, and websites to provide seamless movie discovery across devices.
Its intuitive interface allows users to interact conversationally, ask for recommendations (e.g., “Suggest a comedy for family night”), and receive curated options instantly. The system adapts over time, learning from feedback to improve accuracy and personalization.
With features like mood-based filtering, multi-language support, and trending movie insights, CineAI delivers a smarter and more engaging experience, making movie discovery enjoyable, efficient, and highly relevant.
The system goes beyond simple genre-based suggestions by considering factors like themes, actors, directors, trending content, and even user sentiment. CineAI can integrate with streaming platforms, mobile apps, and websites to provide seamless movie discovery across devices.
Its intuitive interface allows users to interact conversationally, ask for recommendations (e.g., “Suggest a comedy for family night”), and receive curated options instantly. The system adapts over time, learning from feedback to improve accuracy and personalization.
With features like mood-based filtering, multi-language support, and trending movie insights, CineAI delivers a smarter and more engaging experience, making movie discovery enjoyable, efficient, and highly relevant.
Machine Learning Tools
Amazon SageMaker, BERT, ChatGPT, GPT-3, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Scrapy, SQL, TensorFlow, XGBoostWhat's included $150
These options are included with the project scope.
$150
- Delivery Time 1 day
- Number of Revisions 0
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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SM
Shahid M.
Nov 17, 2025
30 minute consultation
Seems knowledgeable and competent. Would like to work more with him.
RC
Rohit C.
Oct 29, 2025
AI FullStack Developer Needed
Deep is an excellent AI full-stack developer. He was always available for discussions, communicated clearly, and delivered the project efficiently with great attention to detail. Highly professional and reliable throughout the collaboration. He delivered an outstanding MVP. I highly recommend him
About Deep
GenAI Developer | AI/ML | Agents, Chatbots, Voice | Python FullStack
100%
Job Success
Ghaziabad, India - 5:57 am local time
🔹5+ Years Python Experience 🔹 2+ Years AI/LLM & Chatbots
🔹Generative AI 🔹 OpenAI 🔹Advanced Integrations
🔹Fast 🔹 Scalable 🔹 Reliable Solutions
🔹24/7 Availability 🔹 Affordable Rates
I’m a Python Full-Stack Developer with 5+ years of experience building robust web applications, automation tools, and data scraping solutions. Over the past 2 years, I’ve specialized in AI-driven development—crafting intelligent systems with React frontends, AI agents, Retrieval-Augmented Generation (RAG), and custom chatbots. My expertise combines strong full-stack engineering with cutting-edge AI, enabling me to deliver scalable, efficient, and business-focused solutions tailored to real-world needs.
🤖 AI & LLM Expertise
• Created and delivered AI & Voice Agents using ElevenLabs, CrewAI, and Deepgram
• Integrated and optimized LLMs like OpenAI GPT, Anthropic Claude, Cohere, and AI21 for
powerful NLP solutions
• Fine-tuned LLMs to improve accuracy, relevance, and performance for custom AI applications
• Expert in RAG with Langchain + Vector DBs (FAISS, Pinecone,etc)
• Skilled in prompt engineering
⚙️ Backend Development
• Engineered scalable backend systems using Python (Django, FastAPI, Flask) and Node.js for
high-performance applications
• Worked with MySQL, PostgreSQL, MongoDB, Oracle PL/SQL, Firebase
• Built async task systems using Celery and Redis
• Strong in testing (Pytest, Unittest) and automation (Selenium, Scrapy)
• Deployed apps using Docker, Azure, AWS EC2 & S3, Supervisor & Nginx
• Version control using Git with GitHub, GitLab, and Bitbucket
🎨 Frontend Development
• Proficient in core frontend technologies HTML5, CSS3, and JavaScript (ES6+)
• Skilled in modern frameworks including ReactJS, NextJS, Vue.js, Angular, and React Native
• Managed complex frontend state using Redux, React Context, and built-in hooks
• Styled UIs using Tailwind CSS, Bootstrap, and Material UI for sleek, responsive designs
• Prioritize responsive, mobile-first designs to ensure seamless user experiences across devices
🕸️ Scraping & Automation
• Developed robust web scrapers using BeautifulSoup, Scrapy, Selenium, Requests
• Automated workflows and API integrations for efficiency
• Scheduled tasks with Cron / Task Scheduler for seamless automation
Ready to bring your project to life with expert AI, backend, frontend, and automation solutions — let’s connect and get started!
I’d love the opportunity to work with you.
Thank you!
Steps for completing your project
After purchasing the project, send requirements so Deep can start the project.
Delivery time starts when Deep receives requirements from you.
Deep works on your project following the steps below.
Revisions may occur after the delivery date.
Project Execution
Gather requirements, design flow, develop AI features, integrate with platforms, test for accuracy, and deploy CineAI with documentation and training for smooth client handover.