Radimpex Tower 6 Projects
Looking for freelance Radimpex Tower 6 jobs and project work? PeoplePerHour has you covered.
opportunity
Web site with Calculator
Website Project I am requiring a website home page. The home page will allow someone with a user name and a password to access a Excel calculator created by me. The calculator must reside on the website for accessibility by approved personnel. The website calculator must prevent tampering while having certain limited user friendly cells for inputting critical data. Once the data is input, the remainder of cells should automatically calculate. Once a user has completed working on the calculator they should have the ability to download the information in a pdf format onto a legal size 8 ½” x 11 sheet. In addition, I would like the following: 1) The website should track all activity. ‐ User ‐ Time on the site ‐ A copy of all pdf calculator results ‐ 2) The calculator must be updateable with each revision kept in a back‐up file. 3) All calculator formulas should not be viewable by users with the website code password protected. 4) It would be preferable that the calculator be constructed in a manner that Petro‐logic, LLC (owner) be allowed to update it. A beta calculator should be created to insure any updated calculator is in accurate working order prior to allowing user access. 5) Petro‐logic will provide content for the Home page. 6) Contractor will assist in selling up Petro‐logic.com email addresses. ‐ info@petrologic-usa.com ‐ contact@petrologic-usa.com ‐ sorth@petrologic-usa.com ‐ sales@petro‐logicusa.com ‐ 7) The website should be expandable for additional website pages in the future. 8) Calculator should have notes or tutorial or video on how to use. 9) SEO Please do not submit if you don't reside in the United States as I may need a face to face visit. Don't apply if you're not fluent in Excel. The calculator is the most important. If you don't have strong Excel knowledge & the ability to create the Excel calculator in a web app, please do not waste my or your time. Thank you.
25 days ago25 proposalsRemoteopportunity
WordPress NEWS Website
The Project is to develop a dynamic NEWS App using WordPress to provide users with easy access to up-to-date news content on various topics. The app will leverage WordPress's robust CMS capabilities to streamline content management and deliver a seamless user experience across web, table, and mobile devices. 1. User Interface: Clean and intuitive interface for easy navigation. Mobile-responsive design to ensure compatibility across devices. Customizable layout options for user preference. 2. Content Management: Use of WordPress CMS for content creation, editing, and publishing. Ability to categorize news articles for efficient organization. Support for multimedia content including text, images, and videos. Custom Design is available 3. News Feeds: Aggregation of news articles from multiple sources. RSS feed integration to automatically fetch latest news updates. Option for users to customize their news feed based on interests. 4. Push Notifications: Push notification functionality to alert users of breaking news or important updates. Customizable notification settings for user preferences. 5. User Engagement: Social sharing features to enable users to share articles via various platforms. Commenting system to facilitate user interaction and feedback. Bookmarking feature for users to save articles for later reading. 6. Personalization: User profiles to track preferences and browsing history. Personalized recommendations based on user interests and behavior. 7. Monetization: Integration with advertising networks for revenue generation. Option for sponsored content or native advertising. 8. Performance Optimization: Optimization for fast loading times and smooth performance. Image optimization to reduce data usage and improve loading speed. 9. Security and Privacy: Implementation of security measures to protect user data and prevent unauthorized access. Compliance with privacy regulations such as GDPR. 10. Analytics: Integration with analytics tools to track app usage, user engagement, and content performance. Generation of reports for insights into user behavior and content effectiveness. 11. Localization: Support for multiple languages to cater to a diverse user base. Localization of content and interface elements based on user preferences. 12. Technical Requirements: Compatibility with latest versions of iOS and Android operating systems. Integration with WordPress backend, utilizing REST API for data retrieval and management. Testing on various devices and screen sizes to ensure optimal performance. Full requirements will be shared when the final selection is made.
14 days ago45 proposalsRemoteopportunity
Tidy the server from X-ransom attack
Hello, Our Wordpress website was attacked by x-ransom. We have a backup of the WP and the database dump. We have detected some corrupted files there but it seems that there are still some left that were not detected. It has to be tidy after the attack. It’s an internet shop with uploads files of around 100GB. It’s stored on a private hosting in LV. What is done do far: 1. Update WordPress Version 2. Use z’d updateSecure WP-Admin Login Credentials 3. Set Up Safelist and Blocklist for the Admin Page 4. Use Trusted WordPress Themes 5. Install SSL Certificate 6. Remove Unused WordPress Plugins and Themes 1. Enable Two-Factor Authentication for WP-Admin 2. Back Up WordPress 3. Limit Login Attempts 4. Change the WordPress Login Page URL 5. Log Idle Users Out Automatically 6. Monitor User Activity 7. Check for Malware - found several none-Wordpress specious files and plugins. Deleted them. 1. Disable PHP Error Reporting 3. Turn File Editing Off 4. Restrict Access Using the .htaccess File 5. Change the Default WordPress Database Prefix - not done 6. Disable XML-RPC 7. Hide the WordPress Version 8. Block Hotlinking - not done 9. Manage File Permissions not done After making the list, we received another x-ransome attack. I suspect he has a server level access not only wp level. If you apply, you need to be a server security and a Wordpress specialist. Please, quote for the job.
2 months ago18 proposalsRemoteopportunity
Automated Semantic Text Analysis Pipeline
Comprehensive Use Case Specification: Automated Semantic Text Analysis Pipeline Objective Develop an automated semantic text analysis pipeline that processes and analyses textual data extracted from documents. This pipeline enriches text with metadata for deeper insights and enables semantic search capabilities through a user-friendly interface. This stage of the project is for a MVP system should leverage AWS services such as Textract for text extraction, a text categorising stage with a simple to use GUI, all-mpnet-base-v2 for embedding, and Postgres with a vector extension. This job posting is for the MPV stage only, but we must be mindful of the stage two development and facilitate rapid and straightforward scalability in any stage one MPV processes. System Overview The solution encompasses AWS services for storage and processing, a custom interface for metadata enrichment, all-mpnet-base-v2 for generating text embeddings, Postgres and a vector extension for efficient storage and retrieval of vectors, and a custom-built web interface for user interaction. RAG will be implemented with a broad a context as possible to the model across a large document set. Phase 1: MVP Stage 1. Document Storage and Processing Trigger - Tool: Amazon S3. - Process: Upload documents (PDFs initially) to designated S3 buckets, documents will be remained in accordance with a set naming convention and key metadata relating to the document entered into the database for future reference. This triggers the subsequent text extraction process. For test purposes the uploads will be made manually, and at later stages a web scraper will be added that automatically places PDF documents into relevant S3 buckets. 2. Text Extraction - Tool: AWS Textract. - Process: Text is extracted from uploaded PDF documents and temporarily stored in A3 buckets to facilitate further processing. 3. Text Enrichment Developer to advise on best method of adding labels / categories to the text, via an easy to use interface. Labels to be added at a granular level to allow the return of text snippets, providing context to the LLM in formulating it's responses from a broad range of documents without exceeding the token limit. 4. Text Vectorization - Embedding tool: all-mpnet-base-v2 - LLM: Amazon SageMaker (using LLaMA 2). - Process: The text is processed with LLaMA 2 to generate vector embeddings, capturing semantic information for advanced analysis and search functionalities. 5. Vector Storage - Tool: Postgres with a vector extension - Process: Text vectors are stored in the database, allowing for efficient management and retrieval of vectorized data for semantic searches. 6. Front-end Web Application and Search Functionality - Front-end Technology: React.js. - Key Features: - Semantic search input and results display. - email input field for collecting contact information for marketing purposes, forwarding to the client's email address. - Homepage containing descriptive marketing text. - 3 pages total: home page, interaction page, contact page, plus a pop up with GDPR info. Graphics provided as template guidance. - Back-end Technology: Python with FastAPI. Phase 2: Full Automation and Scaling 1. Automated Document Ingestion - Process: A web scraping tool is implemented to automatically identify and upload new documents to the S3 bucket, facilitating a continuous flow of data into the pipeline without manual intervention. 2. Scalable Architecture - Deployment: The application components are containerized using Docker and managed with Kubernetes (Amazon EKS), ensuring the system can scale efficiently to accommodate increased data volumes and user queries. 3. Enhanced Processing Capabilities - Improvements: Integrate additional NLP and ML models for broader and more nuanced text analysis. Consider fine-tuning custom models for specific domain applications. 4. User registration and user management system integration. Please note the attached contract agreement that will be deemed agreed to upon acceptance of the project. Your price given on PPH will be deemed to be your full and final price, and you will be deemed to have fully understood the scope, brief, and specification. To provide context, the project business plan has been uploaded. This is for context only and does not form part of the brief.
21 days ago11 proposalsRemoteopportunity
Local Council Chatbot utilising Llama2 and dataset of PDF docs.
Full stack developer with relevant experience in AWS services and LLM deployment. Description Develop an MVP that provides a chat interface allowing users to query a dataset of local council documents, which will variously include minutes and policy documents. A dataset that contains all information relating to the purpose, policies, news, information, and decision making by that council. The dataset would contain approximately 100 PDF documents, and the chatbot would return meaningful and coherent answers to user prompts, while providing reference links to documents that information in the response is taken from. The client acknowledges the current limitations of LLMs in returning responses from queries across multiple documents, especially given current token limits and processing cost restrictions. A developer is sought that can leverage techniques to embed metadata in the text, allowing techniques such as RAG to extract snippets of data from multiple documents relating to the query and collate them into a response to the user, while adhering to token limits. Objective Develop an automated semantic text analysis pipeline that processes and analyses textual data extracted from documents using Llama2. This pipeline enriches text with metadata for deeper insights and enables semantic search capabilities through a user-friendly interface. This stage of the project is for a MVP system, leveraging AWS services such as Textract for text extraction, a text categorising stage with a simple to use GUI, all-mpnet-base-v2 for embedding, and Postgres with a vector extension. This job posting is for the MPV stage only, but we must be mindful of the stage two development and facilitate rapid and straightforward scalability in any stage one MPV processes. System Overview The solution encompasses AWS services for storage and processing, a custom interface for metadata enrichment, all-mpnet-base-v2 for generating text embeddings, Postgres and a vector extension for efficient storage and retrieval of vectors, and a custom-built web interface for user interaction. RAG will be implemented with a broad a context as possible to the model across a large document set. Phase 1: MVP Stage 1. Document Storage and Processing Trigger Tool: Amazon S3. Process: Upload documents (PDFs initially) to designated S3 buckets, documents will be renamed in accordance with a set naming convention and details of the document entered into the database. This triggers the subsequent text extraction process. For test purposes the uploads will be made manually, and at later stages a web scraper will be added that automatically places PDF documents into relevant S3 buckets. 2. Text Extraction - Tool: AWS Textract. - Process: Text is extracted from uploaded PDF documents and temporarily stored in A3 buckets to facilitate further processing. 3. Text Enrichment Developer to advise on best method of adding labels / categories to the text, via an easy to use interface. Labels to be added at a granular level to allow the return of text snippets from within the chunks of data, but with relevant metadata. The purpose of this is to provide context to the LLM in formulating responses from a broad range of documents without exceeding the token limit. 4. Text Vectorization • Embedding tool: all-mpnet-base-v2 • LLM: Amazon SageMaker (using LLaMA 2). Process: The text is processed with LLaMA 2 to generate vector embeddings, capturing semantic information for advanced analysis and search functionalities. 5. Vector Storage Tool: Postgres with a vector extension Process: Text vectors are stored in the database, allowing for efficient management and retrieval of vectorized data for semantic searches. 6. Front-end Web Application and Search Functionality Front-end Technology: • React.js. Key Features: • Semantic search input and results display. • email input field for collecting contact information for marketing purposes, forwarding to the client's email address. • Homepage containing descriptive marketing text. 3 pages total: home page, interaction page, contact page, plus a pop up with GDPR info. Graphics provided as template guidance. Back-end Technology: • Python with FastAPI. 7. Fine Tuning Allow for fine tuning based on a series of questions and responses to be provided by the client, until such point that coherent responses to queries are achieved. Phase 2: Full Automation and Scaling Beyond the scope of this job. Notes: The developer is to provide guidance and feedback on the capabilities of the technologies and is free to provide their own guidance and suggestions. However, the functionality of the system in providing coherent responses based on text snippets drawn from a large dataset is both the challenge and the absolute requirement. Please only bid with your full and final price. Placeholders will not be accepted. Completion with approximately two weeks. Please respond by explaining how you would handle the text enrichment?
21 days ago17 proposalsRemote