Ayesha Aslam@Ashi

Bibliotopia is a service that enables you to search books from your descriptions.

Deaf and hard-of-hearing individuals face a multitude of challenges in their daily lives, with one of the biggest being the difficulty in communicating with hearing individuals who do not understand sign language. This communication barrier can lead to social isolation, limited access to education and employment opportunities, and a lack of participation in various social activities. Our project aims to address this challenge by developing a real-time speech-to-sign language translation solution that can bridge the communication gap between the deaf and hard-of-hearing and the hearing individuals. This solution has the potential to enhance accessibility and inclusivity for the deaf and hard-of-hearing community and improve their quality of life.

LangX's AI agent that can easily teach you a language quite fast we also do it for free thus increasing accessibility and affordability. We aim to make learning languages easy in remote countries for professional/personal developmental purposes this also increases opportunities for proffesionals as many companies are looking people who know many languages. It also helps you save time by just sitting and using the website instead of going to the teacher's house or attending classes and preventing boredom for students not wanting to attend classes thus increasing linguistic interest in children.

Raga Music Generation Pipeline: RagaCraft Our project, RagaCraft, bridges the gap between raw human emotion and the timeless art of raga music using cutting-edge AI. Here's a deeper dive into the underlying process: Customer Interaction: Users interact with our platform, sharing their current emotions and contextual information. For example, "I am feeling romantic today. It is Valentine's Day. I'd like a song to suit the mood." JavaScript Selection: Our system, powered by JavaScript, scans the user's input to select an appropriate raga that resonates with the given emotion. OpenAI Integration: To add depth and specificity, RagaCraft sends a refined request to OpenAI: "Generate a text-to-music prompt for a single romantic raga. Include parameters such as tempo, scale, pitch, and rhythm to optimize the romantic mood. Define ideal values for these features." OpenAI's Response: The API, enriched with musical knowledge, replies with precise musical direction. For instance, "For a romantic setting, employ the Hindustani raga Kamboji. Utilize a medium-slow tempo, major scale, and a high pitch with low undertones. The rhythm should be gentle with a 4/4 signature. Dynamics can vary, with crescendos and decrescendos, ensuring a light texture and smooth timbre." Audiogen Transformation: The detailed prompt from OpenAI is fed into Audiogen, which processes it and crafts a song that encapsulates the user's emotions. Delivering the Experience: Our user interface then presents the generated raga song to the user, completing a journey from raw emotion to personalized musical expression. Through RagaCraft, we're redefining the way users experience and interact with traditional music forms in the age of AI.