Our projects
AI-Powered Chatbot for Customer Support
Tech Stack:
AI: Natural Language Processing (NLP) with OpenAI GPT-3/4 or Google Dialogflow
Cloud: AWS Lambda, Firebase, or Google Cloud for backend services
MERN: MongoDB, Express.js, React.js, Node.js
Description: A chatbot integrated into a customer support platform that can understand user queries, provide relevant responses, and escalate issues to human agents when needed.
2. AI-Based Image Recognition and Classification Platform
Tech Stack:
AI: TensorFlow or PyTorch for building the image classification model
Cloud: AWS S3 for storing images, AWS EC2 for running the AI model
MERN: MongoDB, Express.js, React.js, Node.js
Description: A platform that allows users to upload images, which are then classified into categories using a machine learning model. For example, a wildlife classification tool that identifies animals in uploaded photos.
3. AI-Powered Sentiment Analysis Dashboard
Tech Stack:
AI: Sentiment analysis using Hugging Face Transformers or a pre-trained NLP model
Cloud: Google Cloud Functions or AWS Lambda for serverless processing
MERN: MongoDB, Express.js, React.js, Node.js
Description: A dashboard that analyzes user reviews or social media posts and provides insights on the sentiment (positive, neutral, negative) of the content. This can be useful for companies monitoring customer feedback.
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