8
3
Pakistan
2 years of experience
I am an experienced professional with a diverse skill set in the fields of automation, artificial intelligence, and data science. I have successfully implemented various projects, showcasing my expertise in WhatsApp automation for marketing, where I have developed both chatbots and rule-based systems to enhance customer engagement. In addition, my proficiency extends to email automation, ensuring efficient communication strategies. I have also delved into Federal AI Law Consulting, utilizing Python, HTML, CSS, and JS to create an AI-powered PDF reader for legal documents. Moreover, my projects include Autogen, a collaborative platform leveraging user proxies and assistants. I possess in-depth knowledge of machine learning algorithms and have applied them in projects like sales prediction, recommendation systems, and predicting customer buying behavior. I excel in exploratory data analysis, handling missing values, data cleaning, preprocessing techniques, feature engineering, and feature selection to extract meaningful insights from data. Furthermore, I have developed Python-based chatbots for versatile applications. My skills extend to web scraping, providing valuable company insights. Overall, my diverse project portfolio reflects a strong foundation in both technical and business-oriented aspects of AI and data science.
Unleash your creativity with our Text Generation Web App! Perfect for social media enthusiasts and content creators, this platform allows you to effortlessly craft engaging and entertaining social media posts. Simply type in a topic or idea, and watch as our advanced language model generates a fun and personalized post for you. Whether you're looking to spark conversations, share insights, or entertain your audience, our tool empowers you to express yourself with flair. Experiment with different prompts, adjust the word count, and let your imagination flow. Elevate your social media presence and captivate your followers with uniquely crafted content, all at your fingertips!
Overview: 1) Python Programming: Leveraging the versatility and robustness of Python, we've built a solid foundation for our speech recognizer and assistant, ensuring flexibility and scalability. 2) OPENAI API Integration: Empowering our assistant with the capabilities of the OPENAI API enables it to comprehend, process, and respond to queries across a spectrum of languages and topics. 3) Google Recognizer for Voice-to-Text: By utilizing Google's advanced speech recognition technology, we achieve accurate and efficient transcription of spoken words into text, forming the basis for seamless interaction. 4) Streamlit for Deployment: Deploying our solution using Streamlit provides an intuitive and user-friendly interface, making interaction effortless and accessible to users across diverse platforms. Advantages: Multilingual Mastery: Breaks language barriers, catering globally. AI-Powered Precision: Learns, adapts, and delivers tailored responses. Efficiency Booster: Swift voice interaction, enhancing productivity. Market Demand: The market demands seamless communication solutions that transcend language barriers and facilitate efficient interaction. Our Multilingual Speech Recognizer & AI Assistant addresses this demand by offering a versatile, intelligent, and accessible platform. Conclusion: In the dynamic landscape of communication technology, our Multilingual Speech Recognizer & AI Assistant stands as a testament to innovation and progress. With its multilingual competence, AI-powered assistance, and user-friendly deployment, it heralds a new era of effortless communication and interaction, catering to the evolving needs of a diverse global audience.
Welcome to our Comprehensive Mental Health Intake Questionnaire. User engagement is prioritized from the beginning with a warm welcome screen, offering a concise explanation of the process. Users are encouraged to actively participate for better outcomes, setting the tone for a cooperative journey towards mental well-being. The questionnaire boasts an intuitive design, featuring screenshots that highlight the clean and user-friendly input fields. Emphasis is placed on simplicity to enhance user participation, ensuring that the process is accessible and comfortable. Basic information, including Name, Age, and Address, is collected with a clear purpose. The importance of confidentiality in handling personal details is emphasized, fostering trust between users and the mental health support system. The questionnaire is divided into sections such as Family History, Treatment, Medications, and Addiction. Each section is explained in terms of its significance in building a holistic health profile. Users are encouraged to provide honest and detailed responses, as the collected information enables the delivery of personalized care. A strong commitment to data confidentiality and security is reiterated, assuring users that their information is handled with the utmost care. A compelling call-to-action encourages users to complete the questionnaire, emphasizing its role in unlocking better mental health support tailored to individual needs. To enhance accessibility, the questionnaire is available in multiple languages, catering to a diverse user base and breaking down language barriers that may hinder mental health support. In a nod to convenience, the questionnaire introduces a Voice Form feature, providing an alternative input method for users. This innovative approach ensures that individuals with varying preferences or accessibility needs can seamlessly engage with the mental health intake process.