Convosphere of CVR engineering College.pdf

It is about convosphere

1. Team Members: GOPALADAS MADHAN MOHAN – 22B81A6624 BIKKUMALLA SAI MANIKANTA – 22B81A6636 BUDDHI VINAY KUMAR – 22B81A6659 Guide : Mrs.Bhagya Sri G CVR COLLEGE OF ENGINEERING CONVOSPHERE Department of Emerging Technologies

2. ABSTRACT Google Colab : Cloud based platform for collaborative Python coding with free resources for efficient model training Hugging Face : NLP focused platform for model sharing and fine-tuning, offering a vast repository of pretrained model Play.ht : Text-to-speech synthesis platform delivering high-quality voice synthesis for various applications. Gradio : Gradio is an open-source Python package that allows you to quickly create easy-to-use.

3. Langchain : Multilingual support platform for developers to build and deploy applications catering to diverse language needs. ChatGPT: Human-like Conversations API Integration API Key Functionality Security Personalization

4. Chatbot : Efficient Training Natural Conversations User-Friendly Safe Interactions Voicebot : Speech Recognition Natural Responses Easy Listening Security Measures KEY FEATURES

5. PROBLEM STATEMENT AI Chatbot: Improving Customer Service Efficiency: Develop an AI chatbot to handle customer queries, provide instant responses, and escalate complex issues to human agents. Enhancing User Experience: Create an AI chatbot that understands natural language and context to provide personalized recommendations, assistance, and guidance. Automating Routine Tasks: Implement an AI chatbot to automate repetitive tasks such as appointment scheduling, order tracking, and information retrieval. Increasing Sales and Conversions: Develop an AI chatbot integrated with e-commerce platforms to assist customers in product selection.

6. Voicebot : Hands-Free Interaction: Develop a voicebot that allows users to interact with devices and applications, enabling hand-free operation and accessibility for users. Improving In-Car Systems: Create a voicebot for automotive applications and perform tasks like making calls and sending messages, enhancing driver safety and convenience. Streamlining Customer Support: Implement a voicebot to customer support calls, assist with troubleshooting. Personal Assistant Integration: Develop a voicebot integrated with personal assistant platforms (e.g., Amazon Alexa, Google Assistant) to provide personalized assistance.

7. Languages: Python , HTML , CSS , JS Tools/IDEs : Gradio , Langchain ,Google Colab Huggingface , Chatgpt ( api ) , PlayHt . SOFTWARE REQUIREMENTS

8. RAM: 8GB Disk Space: 256 GB Operating System: Windows, Ubuntu , Linux, MacOs,Android (Mobile) Processor: i3 or i5 Microphone HARDWARE REQUIREMENTS

9. API key functionality: Enhances security and personalization in conversational AI technology by controlling access to APIs. SYSTEM ARCHITECTURE

10. FLOWCHART

11. INTERFACE

12. Description:- The image depicts a user interface for an AI chatbot platform named "CONVOSPHERE." The left side of the interface lists three individuals along with their ages: Madhan Mohan Gopaladas , 20 years old. Bikkumalla SaiManikanta , 19 years old. Vinay Kumar Buddhi, 19 years old. Below these names, there is a description of the platform: "Manikanta can be your All-in-One Assistant, from answering questions to engaging in casual conversations."

13. Underneath the description, there are icons representing different skills or tools the platform supports, which include: Google Colab Play.Ht Gradio LangChain Hugging Face The right side of the interface features a chat window with a placeholder message area and three buttons: Submit Retry Undo There is also a "Clear" button below these options. The chat window seems ready for user interaction, where users can type a message and submit it to engage with the AI chatbot.

14. Certainly! When concluding a project on AI chatbots and voicebots , emphasize their transformative potential in various domains:- · Cost Efficiency : Discuss how these technologies can significantly reduce operational costs by automating routine tasks. · 24/7 Availability : Highlight the advantage of round-the-clock availability provided by chatbots and voicebots . · Personalization : Emphasize the capability of AI bots to deliver personalized experiences by analyzing user data and preferences. · Scalability : Point out how AI chatbots and voicebots can easily scale to handle large volumes of inquiries or interactions. · Integration with Existing Systems : Discuss the seamless integration of these technologies with existing software and platforms, facilitating a smooth transition and maximizing compatibility with current workflows. CONCLUSION

15. Thank You