AI-powered feature building
Budget: ₹400 – ₹750 INR
Hi There :
Looking forward to building AI-powered features for a product we are building. Please note we are using the following tech stack.
Tech Stack:
1. Front-End:
○ Framework: React.js, Angular, or Vue.js.
○ UI Libraries: Tailwind CSS, Material-UI.
2. Back-End:
○ Framework: Node.js (Express), Python (Flask/Django), or Ruby on Rails.
○ APIs: REST or GraphQL.
3. AI Models:
○ Hosting: TensorFlow, PyTorch, or Hugging Face on AWS, Google Cloud, or Azure.
○ Pretrained Models: OpenAI GPT for NLP, Scikit-learn for predictive analytics.
4. Database:
○ SQL: PostgreSQL, MySQL for structured data.
○ NoSQL: MongoDB for flexibility.
5. Cloud Infrastructure:
○ AWS, Google Cloud, or Azure for hosting and scaling.
○ Kubernetes for container orchestration.
6. Authentication:
○ OAuth 2.0, Firebase Auth, or Auth0 for secure user management.
7. Payment Processing:
○ Stripe or PayPal for subscriptions.
Please advise us on the technologies you are comfortable with. We will be sharing the list of features for high-level estimations to short-listed candidates.
Thanks
Looking forward to building AI-powered features for a product we are building. Please note we are using the following tech stack.
Tech Stack:
1. Front-End:
○ Framework: React.js, Angular, or Vue.js.
○ UI Libraries: Tailwind CSS, Material-UI.
2. Back-End:
○ Framework: Node.js (Express), Python (Flask/Django), or Ruby on Rails.
○ APIs: REST or GraphQL.
3. AI Models:
○ Hosting: TensorFlow, PyTorch, or Hugging Face on AWS, Google Cloud, or Azure.
○ Pretrained Models: OpenAI GPT for NLP, Scikit-learn for predictive analytics.
4. Database:
○ SQL: PostgreSQL, MySQL for structured data.
○ NoSQL: MongoDB for flexibility.
5. Cloud Infrastructure:
○ AWS, Google Cloud, or Azure for hosting and scaling.
○ Kubernetes for container orchestration.
6. Authentication:
○ OAuth 2.0, Firebase Auth, or Auth0 for secure user management.
7. Payment Processing:
○ Stripe or PayPal for subscriptions.
Please advise us on the technologies you are comfortable with. We will be sharing the list of features for high-level estimations to short-listed candidates.
Thanks