Building MVP WebApp with AI Conversational Video API for Mock Interview Platform
Budget: $5,000 – $10,000 USD
I am looking to develop an MVP of a conversational video web app designed to simulate technical and behavioral mock interviews. The app will use AI-powered video replicas for users to engage in interviews, providing real-time feedback. The goal is to offer a scalable, user-friendly MVP that can later be expanded with additional features based on user feedback.
The MVP will focus on the core functionality for technical and behavioral interviews with AI replicas. I would prefer to integrate pre-built solutions / API for the video replicas and language models, and Tavus seems like a good fit for this. However, I am open to exploring other similar platforms that provide the conversational video AI and NLP capabilities required for this app.
Key Features for MVP:
Technical Interview Functionality:
Users will be able to participate in technical interviews with AI-generated questions based on an uploaded case interview library or technical prompt repository.
AI integration to generate interview questions dynamically using LLMs (Large Language Models, e.g., OpenAI GPT).
Behavioral Interview Functionality:
Users can input a job description (via URL or text), and the system will scan the description and generate behavioral interview questions.
Behavioral interview analysis using LLMs to understand the job responsibilities and craft relevant questions.
Conversational AI Video Replicas Integration:
Integrate pre-built video replica solutions (such as Tavus or similar platforms) for creating video replicas to simulate real-time interview experiences.
The AI replicas should be capable of holding a conversation with the user, responding naturally based on the interview flow.
Basic User Interface:
User-friendly interface for users to select technical practice from the library based on roles interested, input job descriptions, view video replicas, submit answers and receive feedback.
Simple dashboard to manage interviews and access feedback.
Basic Feedback & Scoring System:
A basic feedback mechanism that provides real-time feedback on user responses, highlighting areas for improvement in both technical and behavioral responses.
Cloud Hosting & Deployment:
The platform should be deployed and scalable on cloud services like AWS, Heroku, or DigitalOcean.
Pre-Built Solutions (Preferred but Open to Alternatives):
I am particularly interested in Tavus for conversational video replicas. If you're familiar with this platform and have experience integrating it, that's a big plus.
However, I am open to exploring other video replica solutions that offer similar features, including pre-recorded replica generation and real-time conversation capabilities.
Project Expectations:
MVP Focus: The goal is to develop a working MVP with core features to launch, test, and get user feedback. Advanced features like advanced feedback systems or multiple interview modes can be added after the MVP phase.
Collaborative Approach: I’d like to work closely with the developer/team to ensure the project aligns with my vision and receives feedback during development.
The MVP will focus on the core functionality for technical and behavioral interviews with AI replicas. I would prefer to integrate pre-built solutions / API for the video replicas and language models, and Tavus seems like a good fit for this. However, I am open to exploring other similar platforms that provide the conversational video AI and NLP capabilities required for this app.
Key Features for MVP:
Technical Interview Functionality:
Users will be able to participate in technical interviews with AI-generated questions based on an uploaded case interview library or technical prompt repository.
AI integration to generate interview questions dynamically using LLMs (Large Language Models, e.g., OpenAI GPT).
Behavioral Interview Functionality:
Users can input a job description (via URL or text), and the system will scan the description and generate behavioral interview questions.
Behavioral interview analysis using LLMs to understand the job responsibilities and craft relevant questions.
Conversational AI Video Replicas Integration:
Integrate pre-built video replica solutions (such as Tavus or similar platforms) for creating video replicas to simulate real-time interview experiences.
The AI replicas should be capable of holding a conversation with the user, responding naturally based on the interview flow.
Basic User Interface:
User-friendly interface for users to select technical practice from the library based on roles interested, input job descriptions, view video replicas, submit answers and receive feedback.
Simple dashboard to manage interviews and access feedback.
Basic Feedback & Scoring System:
A basic feedback mechanism that provides real-time feedback on user responses, highlighting areas for improvement in both technical and behavioral responses.
Cloud Hosting & Deployment:
The platform should be deployed and scalable on cloud services like AWS, Heroku, or DigitalOcean.
Pre-Built Solutions (Preferred but Open to Alternatives):
I am particularly interested in Tavus for conversational video replicas. If you're familiar with this platform and have experience integrating it, that's a big plus.
However, I am open to exploring other video replica solutions that offer similar features, including pre-recorded replica generation and real-time conversation capabilities.
Project Expectations:
MVP Focus: The goal is to develop a working MVP with core features to launch, test, and get user feedback. Advanced features like advanced feedback systems or multiple interview modes can be added after the MVP phase.
Collaborative Approach: I’d like to work closely with the developer/team to ensure the project aligns with my vision and receives feedback during development.