See this our problem statement of our hackathon Do as i say Smart Messaging App Having chat groups within various communities, whether they are residents of a neighborhood or groups of people associated for a common cause like entrepreneurship, is very common. Chat software like WhatsApp and Telegram provide an informal way of communication. Yet, the big challenge with all these software is the vast amount of data/messages flowing through them. A majority of the info may not be relevant, yet one cannot ignore them in search of the relevant messages, notices, or info of common interest. Challenge: Can you build a Generative AI-based messaging solution within the Salesforce ecosystem that can support the needs of the Green Meadows community? This solution should filter and highlight relevant messages, provide self-learning responses and recommendations, and integrate seamlessly with existing chat platforms to enhance the overall communication experience. The Need of the Hour: Imagine a community group for a large residential complex, Green Meadows. As part of the Salesforce ecosystem, Green Meadows wants to leverage Salesforce's capabilities to create a smart AI-based messaging solution or a wrapper around existing solutions to automatically pick up and highlight messages of interest.

1. Message Filtering and Highlighting: Using Salesforce Einstein, the system can automatically filter through the vast amount of messages and highlight those that are relevant to the community members. For example, important notices from the community management or emergency alerts can be prioritized and highlighted.
2. Self-Learning System: The system should be self-learning, utilizing Salesforce's AI capabilities to provide answers and recommendations to queries by group members based on previous results or dynamic content. For instance, if a member asks about the schedule for community events, the system can provide an accurate response based on past data and upcoming schedules.
3. Integration with Existing Platforms: The solution should act as a wrapper around existing chat platforms like WhatsApp and Telegram, integrating seamlessly with them. This ensures that community members can continue using their preferred chat applications while benefiting from the enhanced capabilities provided by the Salesforce-powered solution.
4. Dynamic Content Recommendations: Leveraging Salesforce's analytics tools, the system can analyze the content and interactions within the group to provide dynamic recommendations. For example, if there is a discussion about local services, the system can recommend trusted service providers based on community feedback and ratings.

Our website name is iChat and we have a logo aof it as well We have to make our website on Frontend: Reactjs, tailwind css Backend:Django The theme that we have decided is that in light mode we want white, bluish purple and in the dark mode we want black bluish purple

Our features that we have thought of is that

1. Intelligent filtering and highlighting: We will provide an option to the user to click on this button and as soon as he/she clicks then there should be an option as to from which date or time they wants to filter or highlight the important message and then show them. Uses NLP to prioritize relevant messages based on context, not just keywords.(You can use gemini api for this)
2. What we have thought of is that the person will have the option to login with telegram and as soon as he/she click on it The chats will be fetched with the names through api that we will connect
3. Summarization: We will provide an option to the user to click on this button and as soon as he/she clicks then there should be an option as to from which date or time they wants to summarize they wants to summarize the messages and show them to the user with a good UI
4. Proactive & Self-Learning AI Learns from user interactions to deliver real-time answers and personalized recommendations. In this the model provides the suggestion to the user if he/she wants to reply to the message and there should be an option to copy the text or like the user can give his thoughts and u=you should frame a meaning ful sentence to the context This should be shown everytime the user wants to reply to a message
5. Fake/Real News Detection There should be an option or a button which when clicked it should tell that the message is fake or real using a multimodel system or by using a gemini api In this feature, if the user selects a message and then if he/she clicks on it then it should show whether it is fake or real message
6. Calendar Scheduling: If in a message there is an invite to the user for a meeting or a call or any important task given to the user in the messages, like you should read every message and if there i a proper or inproper invite(like it is just written a call on 6 pm then you should add that in calender as 6 pm only) Extracts event info from messages to auto-generate a user-friendly schedule.

Now i am telling the way i want a frontend

On every page there should be a navbar that ill show the name iof our website along with its logo on the left and And in the right part of navbar, if the user is not logged in then there should be an option to login and on clicking on it there should be a dropdown for login using telegram and login using whatsapp but currently you only have to focus on login using telegram only and if the user is logged in then you have to show the Profile of the user and on clicking on that there should be a dropdown that shows the details of the user and at the last there should be an option to logout as well.

If the User is not logged in then you have to show only the Home page(landing page) in the navbar If the User is logged in then you have to show the Home page(landing page), The dashboard page and Chats page in the navbar

On every page there should be a footer as well and its up to you how you have to make it but keep in mind it should be relevant to our website

The first page that will be shown is

1. Landing page This will show the details of our website like the features, User testimonials, FAQs and everything relevant to our website