On-Demand House Hold Service

από shabdullah88
On-Demand House Hold Service

Introduction and Objectives The system overall is supposed to be working like other on-demand services platform, that is when a user logs into the app using Facebook or using the manual registration and login options, He/she can find a Service Provider for a specific period of time on demand. The customer/service seeker can hire a person easily on urgent basis (immediate hiring) and can schedule the service for later date and time as well (hire a person prior to the service day and time) with payment processing as per your demands The admin panel will show all the control features in the app and present all the statistics in an efficient and smart responsive admin panel. 1. Mobile Apps 1.1 Login 1.2 Service Categories and Service Listing 1.3 Languages 1.4 Order Placement 1.5 Navigation 1.6 Service Tracking 1.7 Review System 1.8 Profile Stats of Service Provider 1.9 Profile Stats of Customer 1.10 Reminder System 1.11 Cancellation Scenarios 1.12 Availability Scenarios 1.13 Multiple J

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Skills and Capabilities: Artificial Intelligence (AI): Strong foundation, covering classical to modern deep learning techniques for a wide range of AI-related tasks. Machine Learning (ML): Extensive experience in implementing ML algorithms, including predictive modeling and recommendation systems. Natural Language Processing (NLP): Core strength with capabilities in sentiment analysis, text classification, and named entity recognition. TensorFlow and PyTorch: Proficient in both frameworks, adept at developing custom neural networks and fine-tuning pre-trained models. AI Chatbots: Built engaging chatbots for user interaction, customer support automation, and communication streamlining across industries. CHATGPT: Experience with advanced language models like GPT-3, skilled in developing applications leveraging these technologies. Generative AI: Expertise in creating synthetic data, generating art, and providing creative solutions using generative models. Image Processing: Solutions for object detection, image segmentation, and enhancing image quality. Stable Diffusion: Knowledge of Stable Diffusion and probabilistic models for projects involving data generation and uncertainty estimation. Cloud Computing: Deployment and scaling of AI/ML models on AWS, Azure, and Google Cloud for reliable and cost-effective solutions. Low Code/No Code: Proficient in low-code and no-code platforms, facilitating rapid application development and business process automation. Blockchain: Delivering solutions involving blockchain technology, such as smart contracts, dApps, and cryptocurrency integration. Why Collaborate with Me: Proven Expertise: Demonstrated success across diverse AI and ML projects. Continuous Learning: Adaptation to the latest advancements, staying at the forefront of the field. Client-Centric Approach: Prioritizing transparent communication, on-time delivery, and exceeding client expectations. Research and Application: A background covering both AI research and real-world implementation, offering a holistic perspective. Previous Engagements: Designed an AI-driven chatbot for an enterprise, resulting in a 30% increase in customer engagement. Developed a generative AI system contributing to the success of a digital marketing campaign, doubling conversion rates. Implemented advanced NLP techniques for a healthcare startup, enhancing patient record accuracy and optimizing information retrieval. Advised a blockchain startup on AI integration for fraud detection and secure transactions, contributing to credibility and growth. Let's Initiate a Conversation: Ready to harness the transformative potential of AI and Machine Learning for your projects? Let's refine your vision into intelligent, data-driven solutions. I'm here to assist in translating your ideas into practical, innovative solutions.

$50 USD/ώρα

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