Projects

Features: • Natural Interaction: The chatbot provides a smooth and intuitive communication experience. • Email Integration: Users can compose and send emails directly within the chat interface. • Guided Prompts: The chatbot prompts users for necessary details, ensuring clear and accurate email composition. • Efficient Processing: The chatbot handles email dispatch quickly and seamlessly once the details are provided. • Productivity Boost: By keeping all tasks within the chat, the chatbot enhances efficiency and convenience for users. Technology: • Frontend :  JavaScript, HTML, CSS • Backend :  Python

Features: • Chatbot Interaction: Delivers a natural and fluid conversation experience for users, enhancing engagement. • Efficient Data Management: Utilizes a vector database to store and retrieve information swiftly, ensuring quick and accurate responses. • Contextual Intelligence: Maintains memory of previous interactions, allowing the chatbot to provide contextually relevant answers. • Robust Backend Support: Offers a solid foundation for chatbot operations and efficient data handling, ensuring smooth functionality. • Advanced Performance Optimization: Implements cutting-edge techniques to fine-tune responses, ensuring accuracy and relevance in every interaction.. • Technology: • Backend :    Python Flask Framework •  Database :      Pinecone Vector Database    • OpenAI chatbot integration   •  Advanced prompt engineering techniques

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Features: • AI Image Generation: Create images from simple text prompts. • Doodle Images: Convert doodle images into polished AI-generated images. • Selfie/Camera Images: Convert Selfie/Camera images into polished AI-generated images. • Customizable Screen Saver: Set your generated images as a screensaver with a chosen theme mode. • Personal Gallery: Store and easily access all your created images securely. • Privacy and Security: Ensures that your data is handled with care and kept private. Technology Stack: • Backend: Flask Framework, Python • Frontend: Angular • Stable Diffusion: Stable Diffusion API • Open AI: Model text-davinci-003 • Hosting: AWS (Amazon Web Services) • Database: SQL for storing image URLs and essential data

Features: Editorial Generation: •  Input up to five tickers, with the platform retrieving the latest press releases from a variety of    verified sources. • Generated content is refined using an OpenAI prompt that follows a set of 30 comprehensive guidelines. •  The process typically takes about one minute, resulting in a polished editorial piece ready for review. •  All generated content is securely stored in a database for future reference. Scheduling Automation: •  Automate editorial generation on a daily basis using the robust scheduling feature. •  Access the latest trending tickers at the top of the page and select random tickers from a database of over 14,093 options. •  Search and select specific tickers for customized scheduling. •  Set the number of editorials to be generated daily from the selected tickers. •  Enable the trending tickers mode to automatically generate 30 editorials based on current trends, which are then stored in the database. •  Customize scheduling preferences by turning off the trending tickers mode and setting specific requirements. Technology: •  Frontend:  JavaScript, TypeScript, Angular,  HTML, CSS •  Backend:  Python, Flask •  Database:  SQL for storing editorial content •  Integration:  OpenAI API for editorial generation

Features: Technology: Hosting: AWS (Amazon Web Services)  Backend: Python

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Features: Technology:

Features: Technology:

Features: • Natural Interaction: The platform allows users to interact intuitively, uploading links or entering text to generate related content. • Content Generation: Users can create titles, paragraphs, or complete text based on the material provided, ensuring relevance and coherence. • Insightful Analysis: The platform provides valuable insights and related information based on uploaded links to specific books or authors. • Efficient Workflow: The tool streamlines the creative process, allowing users to generate content without leaving the platform. • Customization: Users have control over the type of content generated, whether they need a title, a paragraph, or a full-length piece. • Technology Used:         • Frontend:   JavaScript, TypeScript,  Angular, HTML, CSS             • Backend:   Python framework flask        • Database:   MySQL for storing data • OpenAI Integration: Powers the content generation and analysis features.