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Sayanjones/README.md


Who am I 👇?

 from Sayan_HM import personal_details
 # from Sayan_Personal import personal_ambitions
 
 class WhoAmI:
 	Name = 'Sayan H. Mandal'
	Education = "B.Tech IT"
	Hobbies: List[str] = [
                               'Coding',
                               'Music',
                               'Playing Cricket',
                               'Making friends'.
                             ]
			
	# return city name ...
	def MyCity():
		return Kolkata_India()
		
	# return public ambitions ....
	def Ambitions():
		Tring_Be_A_Perfectionist()
		Connect_with_passionate_individuals()
                Collaborative_work_environment()
		Leave_a_lasting_mark()
		# assume 10  more ambitions here ;)					
GitHub Twitter LinkedIn Gmail

🧭 Timeline:

🚀 Current Status:

  • 🔭 I’m currently working on Machine Learning models & polishing my DSA skills.
  • 👯 I’m looking to collaborate on AI/ML/DL/GenAI/Web dev projects.
  • 📝 I write articles on MEDIUM
  • 🌱 I’m currently learning Generative AI & LLMs.

👨 Social:

  1. LinkedIn
  2. Medium
  3. Twitter

🛠️ My Tech Stack:

Languages

C++ CSS3 HTML5 JavaScript Java Python

Cloud Platforms

GCP AWS Azure

Frameworks & Libraries

Django TensorFlow Scikit-learn NumPy Pandas OpenCV Matplotlib

Tools

Git Linux Docker Figma MySQL
snake animation

Profile Views

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  1. DeepStockInsight DeepStockInsight Public

    DeepStockInsight integrates historical stock data with sentiment analysis of news headlines using an LSTM-based RNN and VADER, offering high-accuracy predictions. It provides a flexible framework f…

    Jupyter Notebook 1

  2. DocMind DocMind Public

    The Gemma Model Document Q&A App uses LangChain, FAISS, and Google AI Embeddings to process PDFs and answer user questions based on document content via a Streamlit interface. the Groq Llama3-8b-8…

    Python 1

  3. Visual-Nutrition-Assistant Visual-Nutrition-Assistant Public

    This LLM application uses AI for food recognition, calorie estimation, and personalized diet advice. It aids in diet tracking and weight management. Challenges include food diversity and accuracy.

    Python 1 1

  4. Parkinson_Disease_Detection Parkinson_Disease_Detection Public

    A Support Vector Machine (SVM) model was optimized using Scikit-learn to accurately classify Parkinson's patients. Hyperparameter tuning enhanced the model's ability to differentiate between patien…

    Jupyter Notebook