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SHREYAS S K@shreyas_sk925

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Profile rank: lablab No-rank

Next rank: lablab Apprentice

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ML Engineer

India

4 years of experience

About me

I am a technical person having deep expertise in Machine Learning, Deep Learning, LLMs, Generative AI, Stable Diffusion, NLP, Computer Vision, Reinforcement Learning. I participate in hackathons to learn and execute new stuff in short span. I actively participate in meetups and give technical talks in community forums

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šŸ¤“ Submissions

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    Hackathon link

    SkepTICK- Your FinFluencer sherlock

    Are you SkepTICK of those youtubers telling you'd get 5000% percent returns in this stock? or always follow Warrent Buffet without any context! No more. SkepTICK tells you whole truth and uncovers hidden bias for reasoning behind finfluencers logic based on your personal profile and risk appetite. It helps you give facts behind the stock claims, aggregating latest news sources and reports from leading rating agencies, providing you complete picture before your take any decision. Modules: 1. Claim extraction: Thesis: Our NLP model does entity extraction to identify thesis/reasoning for financial investment(P/E ratio > 40% must sell !) made by youtuber. Stock claims: We identify stocks, and their claims made (This small cap stock can give 200% return in 6 months!) 2. WholeTruth: This module uses financial tuned GPT, to tell you counter thesis for reasoning made by youtuber, according to your profile and risk appetite 3. StockTips: We run agents on internet, to fetch latest company information about the stock, financial data, ticker value (BSE or NSE), which creates a vector database. Our LLM provides factual information augmented by vector DB, to paint complete picture about stock, and not just go by claims made by youtuber Tech stack: FastAPI, JavaScript, Langchain Agents, ChromaDB, matplotlib, finetuned GPT4. Features: A)Counter-analysis of hypothesis: SkepTICK provides a balanced view by offering counter-analysis of claims, encouraging users to critically assess the information presented. B)Resource Recommendations: Additional sources for further research. C)Fundamental Analysis Pointers: Guidance on conducting fundamental analysis for a more comprehensive assessment.

šŸ‘Œ Attended Hackathons

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    Autonomous Agents Hackathon

    šŸ—ļø Build projects with Autonomous Agents, using cutting-edge frameworks like SuperAGI, AutoGPT, BabyAGI, Langchain, and more! šŸ† Register now and stand a chance to win up to $10,000 and a place on the SuperAGI team. šŸ 3-days to complete your solution!

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