Fatima Illimdin@fatima05

Profily is a personalized career consulting web application that leverages the power of DeepSeek R1 to provide tailored career advice based on user input. The tool helps users explore suitable career paths, industries, and actionable next steps based on their educational background, skills, preferences, and location. Features Provides personalized career advice. Considers user preferences, location, and future goals. Offers links to relevant universities and scholarship sites. Utilizes DeepSeek R1, a powerful AI model, for generating career suggestions. Tech Stack Backend: Flask (Python) AI Model: DeepSeek R1 (via aimlapi.com) Environment Variables: dotenv Frontend: HTML/CSS (with index.html template)

Flare is a translation chat tool designed to facilitate easy and interactive translation between multiple languages. With an intuitive chat interface, users can select from various language pairs and receive real-time translations, making it a useful tool for language learning and exploration. Features Real-Time Translation: Translate text instantly between selected languages. Interactive Chat Interface: Communicate with the tool in a conversational manner. Multiple Language Pairs: Supports various language pairs including: - Spanish-English - English-Korean - Korean-English - French-English Technologies Used IBM Watsonx.ai: Utilizes the IBM Watsonx.ai multi-language model, specifically the granite-20b-multilingual, for generating translations. This model is known for its robust translation capabilities across a wide range of languages. Flask: A lightweight web framework for Python used to build the application's backend. Python: The primary programming language for developing the backend logic. HTML & CSS: Used for designing the frontend interface of the application. Utilization of Granite-20b-Multilingual Flare leverages the power of the granite-20b-multilingual model from IBM Watsonx.ai to deliver accurate translations across multiple languages. This advanced model has been trained on a vast dataset to understand and precisely translate text, ensuring that users receive meaningful and contextually appropriate translations. The model supports a wide range of languages and is designed to handle various language pairs effectively. Accuracy and Limitations While the granite-20b-multilingual model offers impressive translation accuracy, it's important to note that no model is perfect. Occasionally, translations may be inaccurate or contextually incorrect. Flare is designed for learning and exploration purposes, and users should be aware that results may vary.

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