Sreekanth Gopi@sgopi

'FINGU' is an innovative, AI-powered personal finance assistant designed to revolutionize the way individuals manage their finances. Built upon state-of-the-art machine learning algorithms, 'FINGU' constantly learns from user interactions, financial behaviors, and market trends to provide highly personalized financial advice. By integrating real-time data analytics, 'FINGU' offers users insights into their spending habits, investment opportunities, and potential financial pitfalls. Furthermore, its interactive interface is designed for user-friendliness, ensuring that even those unfamiliar with financial jargon can make informed decisions. With its emphasis on data security, 'FINGU' employs end-to-end encryption to protect user information, ensuring confidentiality and trustworthiness. Beyond mere number crunching, 'FINGU' understands the nuances of individual financial goals, helping users strategize for both short-term and long-term objectives. In essence, 'FINGU' isn't just a tool—it's a comprehensive financial companion aimed at empowering users to achieve financial success.

ChatmanGPT revolutionizes development by automating code generation, aiding in rapid prototyping, and optimizing code based on AutoGPT. It's a comprehensive system builder with unique features like Prompt Matrix Innovation and real-time evaluation.

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.

AISmartTask: Coded using Open-interpreter, AISmartTask is an innovative AI-driven task management solution tailored for coders or anyone who likes to manage daily routines. Leveraging the power of OpenAI's text engines, this tool is integrated with a Telegram bot, offering an intuitive user experience. Key features include dynamic task management that allows for task addition, prioritization, and AI-powered suggestions. Its document parser extracts essential summaries and highlights critical keywords. Additionally, AISmartTask visualizes task priorities, enabling users to get a clearer view of their tasks at hand. One standout quality is the tool's learning modules, which web scrape for knowledge, encouraging continuous learning. Users can interact with the system via intuitive Telegram commands (vocal or text) and provide feedback for continuous system improvement. With a modular Python architecture, AISmartTask is not just a task manager; it's a revolutionary tool aiming to optimize and enhance the daily routines of coders. It is scalable to any user and other applications such as enterprise project management, academic tasks management (students and educators), task management in healthcare, in the freelance and gig economy, or to manage tasks in any use cases.

With 15% of working-age adults facing mental disorders and an annual loss of US$ 1 trillion in the world due to impaired productivity from depression and anxiety, the necessity for real-time emotional and physiological monitoring is paramount. PsychGen, developed using AutoGen multi-agent platform, aims to democratize mental healthcare through AI-driven personalized psychotherapy sessions, addressing the global rise in mental health issues and the inaccessibility of traditional therapy. Utilizing a robust technology stack including AutoGen, Streamlit, OpenAI, AssemblyAI, Audiocraft, and DALL-E, PsychGen transitions seamlessly from text to audio, audio to music, and finally to video to enrich the therapeutic experience. The project encompasses multi-faceted agents such as a Psychological Chatbot for profiling and script generation, Speech and Music Generation for a meditative voice output and soothing soundtrack, Image and Video Generation for visual representation of therapy themes, and a Mixing agent for creating a comprehensive therapy session. PsychGen holds the promise of democratized access to psychotherapy, real-time personalized mental health support, and scalability for integration with other mental health resources, envisioning a future where quality mental healthcare transcends traditional barriers and is accessible to all.

PsychGenGPT is an innovative solution for mental health support, blending AI with proven psychological practices to provide accessible and tailored assistance. It addresses the significant global economic impact of mental illness, estimated at $2.5 trillion, and the potential productivity loss of $16.3 trillion by 2030. The AI mental health market is rapidly growing, with a projected value of $59.18 billion by 2030. This platform is grounded in scientific research, showing the effectiveness of meditation in reducing stress and depression. PsychGenGPT employs a three-stage therapy approach: Emotional Processing, which includes techniques like mindful observation; Mental Processing, using approaches such as present-moment awareness; and Future Visualization, focusing on positive future envisioning. Core functions include active listening, user profiling, therapy script generation, and real-time interactive support. It also offers advanced analytics for session feedback and is designed for accessibility and cost-effectiveness. A unique feature is its text-to-speech psychotherapy sessions, enhancing user engagement. In short, PsychGenGPT is an AI-based mental health platform offering personalized, accessible, and cost-effective psychological support, combining innovative technology with traditional therapeutic techniques. This is not a diagnosis or professional advice but a sheer support for mental health symptoms management. PsychGenGPT employs a comprehensive three-stage therapy approach for smooth transitioning from negative emotions to stress to productivity. It generates a detailed therapeutic advice, psychotherapy script and an audio guided psychotherapy session.