Product Design Indore Projects
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Front End developer with an interest in stock investing
We’re looking for an experienced front end developer to help improve and expand our stock market analysis web app. You can check it out at WallStreetZen.com. This is a part-time, freelance role. You’ll help us implement new features and improving existing ones using React in the front end. Familiarity with Material UI, the component library that we’re using, is a plus. You’ll also help implement marketing improvements to our web app. Any experience with implementing A/B tests or analytics tracking would be a big asset. Prior stock investing or finance knowledge is also a nice bonus, but not required. RESPONSIBILITIES * Handle front end development for new features / improvements to existing features (stock screener, watchlist, stock market data) * Implement marketing improvements to the site (a/b tests, landing pages) * Implement UX improvements to the web app KEY EXPECTATIONS * Able to build pixel perfect features using React and Material UI component library * Strong attention to detail * Has good taste in engineering choices, explains and makes wise tradeoffs to balance pragmatism in achieving business requirements with adhering to technical best practices. * Delivers clean, high quality, easily readable and maintainable code * Cares about solving big, systemic problems. You look beyond the surface to identify and understand root causes and seek to resolve those instead of only addressing the symptoms. * Exhibits strong attention to detail and sweats the small things * Good eye for aesthetics and basic understanding of design (good alignment, spacing etc). Able to give input on UI/UX issues. We believe in an iterative process when building technology and as a result we expect a strong feedback loop - frequent communication, asking questions when there are any uncertainties, pointing out tradeoffs to be made, and front footing anything unexpected are all strongly encouraged and highly valued. NICE TO HAVE * Able to do simple mockups in Figma that fits with the existing site aesthetic - when given wireframe + existing components * Experience on a growth team (setting up A/B tests, conversion tracking etc.) * Experience investing in stocks * Ruby on Rails experience HOW TO APPLY * Please fill the following form: https://airtable.com/appEx59e6JDQ6PfsF/pag7fXnnIeVhAqn9U/form?prefill_Via=PeoplePerHour&hide_Via=true
a month ago23 proposalsRemoteTailor existing health content for TikTok
Project Overview: Promoting Obesity and Mental Health Awareness on TikTok Using AI Avatars Background This project is designed to leverage TikTok, using AI avatars, to promote awareness and understanding around obesity and mental health issues. Our goal is to adapt existing content into clear, engaging videos. Through straightforward storytelling facilitated by AI, we aim to communicate vital information on obesity and mental health, encouraging a broad audience towards informed health choices and understanding. Objectives 1. Develop Informative Content: Utilise AI avatars and simple narratives to create TikTok videos that clearly address obesity and mental health issues. 2. Educate a Diverse Audience: Encourage viewers to gain a deeper understanding of obesity and mental health, promoting empathy and self-care. 3. Establish a Recognised Platform: Build a noted TikTok presence focused on offering reliable information and support regarding obesity and mental health. Targeted Content • Educational Videos: AI avatar-led presentations explaining factors contributing to obesity and mental health, prevention strategies, and support options. • Personal Stories: Utilise AI avatars to share real-life experiences related to overcoming challenges with obesity and mental health, aiming to inspire and inform. • Interactive Engagement: Craft challenges, Q&A sessions, and videos that debunk myths about obesity and mental health, fostering a supportive community dialogue. Content Strategy • Script Writing: Prepare scripts that clearly and empathetically convey key messages about obesity and mental health. • AI Avatar Customisation: Select an AI avatar that aligns with the project’s aims and appeals to a wide audience, ensuring a consistent and relatable online persona. • Participatory Content: Engage viewers with TikTok’s interactive features to create content that encourages active involvement and spreads awareness. Responsibilities • Write and refine straightforward, empathetic scripts focusing on obesity and mental health. • Manage AI avatar video production, ensuring they are of high quality and consistently aligned with the project’s goals. • Schedule and monitor posts, engage with the community, and evaluate content performance to enhance engagement and reach. Requirements • Expertise in health communication, particularly around obesity and mental health, and digital content creation. • Proficiency with AI avatar technology and video editing software. • Knowledge of TikTok’s algorithms and engagement strategies, with a focus on sensitive content handling. Expected Outcomes • A prominent TikTok account recognised for its contribution to obesity and mental health awareness, providing valuable information and support. • Increased awareness and understanding among viewers, fostering a supportive and well-informed community. • A benchmark for using digital innovation to tackle complex health issues, showing the potential of AI and social media in public health advocacy. This initiative represents a valuable opportunity to use cutting-edge technology and social media for meaningful health advocacy, addressing critical issues like obesity and mental health with clarity and compassion.
15 days ago14 proposalsRemoteHIRING: YouTube video editor, for educational / how-to videos.
We are seeking to hire an experienced YouTube video editor, to help create educational / how-to videos. The video topics will mainly center around graphic design, ecommerce and photography. The videos will be short (0:30 - 2:00), with a punchy, fast-paced communication / delivery / editing style. The goal of each video is to provide maximum usefulness + educational value to viewers, while also including some humor and entertainment. The workflow will look like this: Each video will have its own folder. This folder will contain the already-edited-together audio narration file for this video, as well as a pool of already-prepared video assets (which could include screen-recording videos, screenshot images, relevant stock videos + images, etc.) You will then take these existing assets, build upon them creatively using your video-editing skills, to help produce a very solid final video. Our videos follow a set of general rules + best practices that include the following: --first 3 seconds = very attention-grabbing, showing animated text on screen to hook them via the "hover over thumbnail" functionality that now exists on YouTube; --high-effort and fast pacing during the video -- helping to maintain the audience's retention + keep them stimulated / engaged for the full duration of the video; --some fun + humor integrated where appropriate/possible into the edits; --sound effects included as well, that synchronize with the video edits on screen and/or with pertinent sections of the video script; --the edits synchronizing very nicely with the current point in the audio narration / script throughout the full video; --the inclusion of some text graphics/animations on screen as well; --zooming / highlighting / cropping certain video assets, so as to make a more focused + effective video presentation. --no background music track (although music can be included when used as sound effects -- just no background music track dropped across the entire timeline basically); Selected candidates will be provided a link to our YouTube channel so they can watch some of our recent videos + get a feel for the general editing style we utilize. The ideal video-editor will have the following attributes: --attention-to-detail, with your edits, and putting in a high amount of effort to do the best job you can to make the video as useful, entertaining, engaging, and smoothly-edited as you can; --can fluently understand the written + spoken English language, as our video narrations will be in English; --uses good video-editing judgement and can produce solid video content independently. doesn't expect to be spoonfed an exactly-specified list of each and every single little edit we want made into the video -- but instead, can understand the goals for a video, look at the pool of prepared assets, then use their skills to put together a solid final video using their best judgement. --the ability to take initiative as an editor, to ensure that the final video is your best effort. examples of such initiative may be: creatively including your own assets, where appropriate, to improve the final video (vs. requiring everything to be 100% prepared in advance for you + having your edits only include the already-prepared files, images + videos). an example might be, creating a funny image via midjourney, to then include in the video to humorously accent a certain point being made; or, finding a humorous or relevant stock video from a site like Storyblocks, then including it in the video, to improve a certain section in the current video; or taking a few screengrabs of a certain website, where the folder of prepared video assets is lacking for that section of a video, so that an adequate video presentation can be made for a given section; etc. we're looking for an editor who will bring more to the table than just dropping existing clips on a timeline -- but instead, will go above and beyond to *build upon* the provided assets, to ultimately help create the best final video each time. **Attached to this job posting is a 20-second partial audio-narration file, along with a screen-recording video. As part of your job application, please include an edited version of this clip that meets the desired criteria I described above. I will use the edited video clip you submit to assess the work quality I can expect from you on this project -- and I will not be hiring anybody for this project who doesn't submit this edited 20-second video clip along with their proposal.** Selected candidates will begin with 1-2 paid "trial" video projects. If your final videos are very solid + what we're looking for, there will be consistent, ongoing video-editing work for you on this project. Please let me know if there are additional questions about any of this. Thank you!
7 days ago24 proposalsRemoteSubject: Master Investor Show next Saturday 9th March
I hope this message finds you well. As we gear up for the upcoming Master Investor Show, we're reaching out to discuss an exciting opportunity for video production that captures the essence of our innovative platform, FUNDLY, and our mission with Investor Tools. Our Vision: We're at a pivotal point with Investor Tools, poised to revolutionize how self-investors manage their portfolios with our AI-driven platform, FUNDLY. Our presence at the Master Investor Show is not just an exhibition; it's a launchpad for engaging potential investors, subscribers, and customers. We aim to produce video content that compellingly introduces Investor Tools, entices viewers to join our waiting list, and promotes FUNDLY as the go-to resource for constructing winning investment portfolios. What We Need to be shot at the Master Investor Show: Introduction Video for Investor Tools: A dynamic, short video that captures our vision and mission, appealing to potential investors and subscribers. This piece should highlight the benefits of joining our community and the unique value proposition of FUNDLY. Promotional Video for FUNDLY: An engaging teaser video that introduces viewers to FUNDLY's key features, showcasing how it simplifies and enhances the investment process. This video should be designed to drive traffic to our website for more detailed information. Educational Course Teaser: A captivating preview of our upcoming course, "How to Construct a Winning Investment Portfolio", that demonstrates the depth of knowledge and insight FUNDLY offers. This piece should entice viewers to seek out the full course for comprehensive guidance on intelligent investing. Creative Ideas: Interviews with Beta Testers: Incorporate testimonials from our beta testers to add authenticity and relatability. Behind-the-Scenes at the Master Investor Show: Capture the energy and excitement of our team at the event, including interactions with attendees, to showcase the community and support behind FUNDLY. Call-to-Action Overlays: Strategically place call-to-action prompts throughout the videos, encouraging viewers to learn more, sign up, or get involved with our platform. Logistics & Timeline: The Master Investor Show is fast approaching, and we're keen to hit the ground running. We would appreciate your input on the project timeline and any specific requirements you might have to ensure a smooth production process. Your expertise in crafting stories through video is exactly what we need to bring our vision to life. Could we schedule a call this week to discuss this project in more detail and align on the creative direction? Thank you for considering this exciting opportunity to collaborate. We're looking forward to potentially working together to make a significant impact at the Master Investor Show and beyond. Best regards, Mark Stephens, Founder and CTO
25 days ago1 proposalRemoteRSS Feed Aggregation and Categorization Web Application
Objective: To develop a web application that captures RSS feeds from multiple sources, extracts comprehensive data including title, article body, images, source, author, etc., categorizes the content, and generates its own RSS feed based on these categories. Functional Requirements: RSS Feed Capture: The application shall integrate with various sources to capture RSS feeds. Upon capturing, the application shall retrieve complete data from the feed, including title, article body, images, source, author, and any additional relevant information. Data Extraction: The captured RSS feeds shall undergo parsing to extract relevant information from each feed entry. Information extracted shall include but not limited to: Title of the article. Body of the article. Images associated with the article. Source of the article (URL or name). Author(s) of the article. Publication date/time. Any other metadata provided by the feed. Categorization: The application shall categorize the extracted content into various predefined or dynamically generated categories based on content analysis. Categories may include but are not limited to: News, Technology, Sports, Finance, Entertainment, etc. The categorization process should utilize techniques such as keyword analysis, machine learning algorithms, or user-defined rules to assign content to appropriate categories. RSS Feed Generation: Once the content is categorized, the application shall create its own RSS feed(s) for each category. The generated RSS feeds shall include the categorized content along with relevant metadata. Each RSS feed should conform to standard RSS specifications and be accessible via a unique URL. Non-Functional Requirements: Performance: The application shall handle a large volume of RSS feeds efficiently, ensuring minimal latency in capturing, processing, and categorizing the content. Response time for user interactions shall be optimized to provide a seamless browsing experience. Scalability: The architecture of the application should be designed to scale horizontally to accommodate increasing numbers of RSS feeds and users. Load balancing mechanisms should be implemented to distribute incoming traffic across multiple servers. Reliability: The application shall be robust and resilient to failures, ensuring continuous operation even in the event of hardware or software failures. Data integrity measures shall be in place to prevent data loss or corruption. Security: The application shall implement authentication and authorization mechanisms to control access to sensitive functionalities and data. Data transmission and storage shall be encrypted to protect against unauthorized access or tampering. Assumptions: The RSS feeds from various sources are accessible via standard HTTP protocols. The application will not alter the original content of the RSS feeds, but rather create its own feeds based on categorized content.
24 days ago7 proposalsRemoteopportunity
Estate Agent Management System
I need a developer to develop versatile and user-friendly estate agent software that consolidates property listings, sales, lettings, and management functions into a single platform. This software will serve as the backbone of the agency's operations, enhancing efficiency, improving client satisfaction, and expanding market reach. Core Features Host Website: A professional, easily navigable website to showcase available properties, agency details, and services. Integration with the CRM for real-time property listing updates. Portal Integration: Seamless export of property listings to major portals such as Rightmove.com, Zoopla.com, and OnTheMarket.com. Automated synchronisation to ensure listings are current across all platforms. CRM System: A branch-based CRM system to manage client interactions, property details, and transaction histories. Customisable access levels for different roles within the agency. Online Listing Platform: A platform for landlords and vendors to list their properties directly, subject to approval by the agency. Features to highlight properties, schedule viewings, and manage listings. Landlord Login Section: Dashboard for landlords to view and manage their property listings, financials, and communication with the agency. Tenant Login Section: Portal for tenants to view lease agreements, submit maintenance requests, and communicate with the landlord/agency. Online Diary Management System: A scheduling tool for booking viewings and appointments and managing the availability of properties and agents. Integration with external calendars (e.g., Google Calendar) for real-time scheduling. Sales Progressing: Tools to track and manage the progression of property sales from offer acceptance through to completion. Integration with CRM to maintain comprehensive client and transaction records. Letting Progressing: Management of the letting process, including tenant screening, lease agreements, and move-in coordination. Property Management: Comprehensive property management tools for maintenance scheduling, contractor management, and compliance tracking. Task Management: A task management system to assign, track, and manage tasks within the agency. Automated prompts and reminders to ensure timely completion of tasks. Technical Requirements Scalable Architecture: Ensure the software can scale to accommodate growth in listings, transactions, and user base. Security: Implement robust security measures to protect sensitive client data and comply with data protection regulations. Integration Capabilities: Facilitate easy integration with external portals, payment gateways, and other third-party services. User Interface: Design an intuitive and accessible interface for all user categories, including agents, landlords, tenants, and vendors. Mobile Responsiveness: Ensure the software and host website are fully responsive and accessible on various devices, including smartphones and tablets.
a month ago76 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 proposalsRemoteIncrease organic reach to my website https://maidenventures.co/
Hi, We are looking for help with three specific tasks increase traffic to www.maidenventures.co design update a general website optimisation to increase the speed When anyone in Sydney type the following words I would like the website to come up Technology in construction Energy saving Solar loans Building energy audits Electricity savings Gas Savings Utility bills
3 years ago45 proposalsRemoteCopywriting for Borowski Art Glass 文案 - 博罗夫斯基艺术玻璃
Borowski is a glass art brand that originated in Germany. Borowski passes its fascination for luxury glass artwork to its customers through its objects, including Studio Lines, Outdoor Objects and Art Objects. Borowski’s brand message of Love, Passion and Perfection are displayed with each handcrafted pieces. Our website for Borowski Asia Pacific: https://www.borowski-glass.com.hk 博罗夫斯基是一个起源于德国的玻璃艺术品牌。博罗夫斯基将其对豪华玻璃艺术创作的痴迷和热爱通过其作品传递给客户,包括工作室系列、户外系列和艺术家系列。博罗夫斯基品牌的每一个手工艺术作品都向人们传达了爱,激情和完美。我们的中国官方网站:https://www.borowski-glass.cn Our strategy requires to a continues stream of regular English and/or Chinese blog articles related to all topics (glass or home/garden Lifestyle...) relevant to our products. Each blog post will be between 1000 ~ 2000 words per post. 我们需要寻找顶级的英文及/或中文文案为我们定期提供有关博罗夫斯基艺术作品相关的所有主题(包括:玻璃艺术作品,或者家居/花园等格调高雅的生活方式…) 的博客文章等。每篇博文字数在1000 ~ 2000字之间。 It's a long-term work, and if you are an English native speaker or Chinese native speaker (Bilingual is even better), and have experience writing articles or developing/producing any content for any media types, that would be great. 这是一项长期的工作,如果你有丰富的文案创作或具有为任何类型的媒体开发/创作文案内容的经验(熟悉中英文文案创作更佳),请与我们联系。 This project requires: 这个项目要求具有: - Copywriting expertise 文案经验 - Creativity and ability to conceptualize 专业文案创意和概念化的能力 - Familiarity with Glass Artwork (priority at Art Glass topic writing or experience with story tellings about masterworks etc. is preferred) 熟悉玻璃艺术品(有艺术玻璃主题创作或具有艺术故事叙述经验等的将优先考虑) - Familiarity with Home Lifestyle or Garden/Landscape decoration (good taste at new modern Home decoration, Garden decoration or Landscape decoration etc. as to well implement contemporary art into lifestyle...) 熟悉国内的生活方式或园林/景观装饰(具有过人的现代家居装饰,花园装饰或景观装饰品位,能很好地将当代艺术融入极具格调的生活方式当中……) In your proposal, please share a brief summary of your experience and tell us about your most successful copywriting project to date. 请在你的提案中,分享一个简短的经验总结,并告诉我们你迄今为止最成功的文案项目。
4 years ago45 proposalsRemote