Abdullah Sajid@abdullahsajid

Task Scheduling: Users can effortlessly schedule tasks and prioritize them based on urgency and importance. Tasko ensures tasks are organized efficiently to optimize productivity. Event Management: From setting up meetings to planning appointments, Tasko handles event management with ease. Users can input event details, and Tasko manages the scheduling seamlessly. Reminder Notifications: Tasko sends timely reminders for upcoming tasks and events, helping users stay on top of their schedules and avoid missing deadlines. Natural Language Processing (NLP): Utilizing advanced NLP algorithms, Tasko understands and interprets natural language queries. Users can interact with Tasko conversationally, making scheduling intuitive and user-friendly. Calendar Integration: Tasko integrates with users’ existing calendars (such as Google Calendar, Outlook) to synchronize schedules. This integration ensures that all appointments and events are updated across platforms. Task Tracking: Users can track the progress of their tasks with Tasko. Task statuses are updated in real-time, providing transparency and clarity on ongoing projects. Personalization: Tasko offers personalized scheduling preferences tailored to individual user habits and preferences. It learns from user interactions to provide a more customized scheduling experience over time. Accessibility: Accessible via multiple platforms including web and mobile devices, Tasko ensures users can manage their schedules conveniently anytime, anywhere. Analytics and Insights: Tasko provides analytics on task completion rates, productivity trends, and time management insights. These analytics help users optimize their schedules and improve productivity. Security: Tasko prioritizes data security and user privacy. It employs robust security measures to safeguard sensitive scheduling information and ensures compliance with data protection regulations.

ChatCinema is a multifaceted Streamlit application that combines a sophisticated movie information chatbot with advanced data processing and generation capabilities. The project integrates various cutting-edge technologies to create a versatile platform for movie enthusiasts, data scientists, and AI researchers. At its core, ChatCinema features a highly interactive movie chatbot. This chatbot utilizes a CSV file ('Hydra-Movie-Scrape.csv') as its primary data source, containing a wealth of information about various movies. To enable efficient and relevant movie retrieval, the application employs the 'all-MiniLM-L6-v2' sentence transformer model to generate embeddings for movie summaries. These embeddings are then used in conjunction with cosine similarity calculations to find the most relevant movie based on user queries. The chatbot's natural language processing capabilities are powered by the Groq API, specifically using the 'llama3-8b-8192' model. This integration allows for dynamic and context-aware responses to user inquiries. When a user inputs a movie-related query, the system retrieves the most similar movie from its database and uses this information as context for generating a response. The output includes comprehensive movie details such as title, year, summary, genres, IMDB ID, YouTube trailer link, rating, movie poster URL, director, writers, and cast information. Additionally, the chatbot generates relevant dialogues or additional information about the movie using the AI model. A key feature of ChatCinema is its ability to maintain and manage chat history. The application stores conversation logs in Streamlit's session state, allowing for a continuous and contextual chat experience. Users have the option to download their chat history, which is provided as an encrypted CSV file for enhanced privacy and security.