Preserving Legacies with Valinor – A Documentary AI

Valinor lets users make AI replicas of themselves using their life stories so when they’re no longer around, their stories, lessons, and memories can be passed on through generations.

portfolio-valinor

OVERVIEW

Project Overview

Valinor helps people share personal stories and lessons, making it possible for the knowledge to be transferred across generations.

It has a thorough and user-friendly interview process where people can create their digital replica. These digital avatars can then pass on knowledge and stories to the loved ones so that the family history remains alive. It is for this reason that Valinor’s purpose is to capture human experiences as they are and preserve them for the future generations.

We used state-of-the-art technologies to build Valinor. The product leverage ChatGPT to power conversational AI, enabling natural and interactive storytelling; Socket.IO for real-time, bidirectional communication between users and the server; Docker for containerization, ensuring a consistent and scalable environment; Milvus for managing and querying vector data efficiently.

Key Features

digital_twin_creation

01.

Digital Twin Creation

Using Generative AI technology, Valinor creates a unique digital representation of the hosts, known as a digital twin. This digital twin embodies the user's life stories and experiences, so that their loved ones can connect with their legacy.

02.

Engaging Interactions

The digital twin can engage in conversations with the users naturally, sharing life stories, lessons, and wisdom. This human-like interaction ensures that the host’s legacy remains alive and is accessible to future generations.

voice-input

03.

Voice Input

Valinor features voice input, allowing hosts to effortlessly narrate their cherished stories. This feature captures every memory as the user speaks naturally and comfortably, eliminating the need for typing.

Features at a Glance

  • trumanAI training through Machine Learning

    trumanChat GPT-based integration

    trumanAudio-to-text conversion

    trumanNatural Language Processing

    trumanText-to-speech model

    trumanRecord and store the entire life experiences to train the AI

    trumanSentiment Analysis to understand the emotions conveyed in user messages

    trumanChatbot access over SMS

    trumanAdmins can share their bot with loved ones

    trumanEasy subscription model

    trumanGift a membership plan

Product Demo: A Closer Look

The Challenges and Their Solutions

In our collaboration with the client, we encountered several intricate challenges that tested our expertise in AI solution development:

Humanizing Digital Twin Behavior

Challenges

Ensuring Accurate Voice Capture

One of the greatest difficulties was to make sure that users could tell their stories as naturally and as close to real life as possible. At POC launch, we found that some of the users found it hard to type their memories.


Creating a Lifelike Digital Twin

To make the application as realistic as possible and to create a digital twin of the user with their personality and stories, AI was needed.

SOLUTIONS

We implemented advanced voice recognition technology to capture and transcribe user narratives accurately. This makes sure that every detail of the user's story is preserved without typing manually.

Our team of experts used tailored responses and fostered a conversational flow that feels natural and engaging, aligning with users' preferences.

Integrating eCommerce Functionality

Challenges

Data Privacy

Privacy of users and their data protection were another major consideration given the nature of personal narratives shared.


Seamless Purchase Experience

As the user base for Valinor is diverse, making the interface as friendly as possible so that anyone could use it – including the older users – was another criterion.

SOLUTIONS

To ensure the security of data, we implemented end-to-end encryption that made sure the data is stored safely and can be accessed with specific permissions.


Valinor boasts clear fonts and a well-organized layout, and the menu bar is very easy to use.

Technology Stack

React

React is a free and open-source front-end JavaScript library for building user interfaces or UI components. It allows developers to reuse the components built for the same functionality, reducing the development effort and ensuring flawless performance.

NextJS

Next.js is an open-source web development framework created by the private company Vercel providing React-based web applications with server-side rendering and static website generation.

Docker

Docker is a containerization platform that allows you to package and deploy applications. Containers are isolated environments that contain all the dependencies needed to run an application.

Python

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation via the off-side rule. Python is dynamically typed and garbage-collected.

FastAPI

Fast API is a high-performance web framework for building APIs. It is designed to be easy to use and efficient. Fast API is based on the Python asyncio library, which makes it highly scalable and efficient.

Socket.IO

Socket.IO is a real-time communication library for web applications. It allows you to create applications that can send and receive data in real time, even if the user is not on the same page.

Chat GPT

Chat GPT is a large language model chatbot developed by OpenAI. It is trained on a massive dataset of text and code, and can generate realistic and coherent chat conversations.

PostgreSQL

PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance. It was originally named POSTGRES, referring to its origins as a successor to the Ingres database.

Milvus

Milvus is a vector similarity search engine for large-scale data. It is designed to store and search high-dimensional vectors, such as those used in natural language processing and machine learning.

AWS

Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis. Oftentimes, clients will use this in combination with autoscaling.

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