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Akshadtech17/README.md

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πŸš€ About Me

Coding

name: Akshad Deepak Aloni
located_in: Nagpur, Maharashtra, India
current_focus: Generative AI & Machine Learning
education: ["Computer Science", "AI Enthusiast"]
hobbies: ["Coding", "Breaking & Fixing Things", "Learning"]

currently_working_on: "Campusync"
learning: ["Generative AI", "RAG", "Machine Learning", "Deep Learning"]

philosophy: |
  "The best way to predict the future is to create it.
   Break things, fix them better, repeat."

🎯 Current Mission

  • πŸ”­ Building Campusync - Revolutionizing campus management
  • 🌱 Deep diving into Generative AI, RAG, ML & DL
  • πŸ’‘ Creating solutions that matter
  • ⚑ Fun fact: I break things just to fix them better!

πŸ› οΈ Tech Arsenal

πŸ’» Programming Languages

🎨 Frontend Development

βš™οΈ Backend Development

πŸ—„οΈ Databases

☁️ DevOps & Cloud

πŸ€– AI/ML & Data Science


πŸ”§ Tools & Others


πŸ“Š Weekly Development Breakdown

Python       12 hrs 30 mins  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   48.2%
JavaScript    6 hrs 15 mins  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   24.1%
TypeScript    4 hrs 20 mins  β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   16.7%
HTML/CSS      2 hrs 5 mins   β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘    8.0%
Other         0 hrs 47 mins  β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘    3.0%

🌐 Connect With Me

LinkedIn Twitter Instagram Stack Overflow Gmail

πŸ“¬ Let's Collaborate!

Email: [email protected]


⭐️ From Akshad Aloni with πŸ’™

Pinned Loading

  1. Breast-Cancer-Classification Breast-Cancer-Classification Public

    A CNN-based model using the IDC_regular dataset to classify breast cancer histology images as benign or malignant. Optimized with Keras for medical image analysis. Technologies: Keras, TensorFlow, …

    Jupyter Notebook 1

  2. Customer-Insurance-Purchases-Case-Study Customer-Insurance-Purchases-Case-Study Public

    Predicts customer insurance purchases using demographic features with classification models such as Logistic Regression, KNN, and Random Forest. Technologies: Python, Scikit-learn, Machine Learning

    Jupyter Notebook

  3. Resume-Shotlister Resume-Shotlister Public

    An intelligent AI-powered system that evaluates resumes, predicts selection chances, and provides improvement suggestions for better job opportunities.

    HTML

  4. AI_Food_Analyzer- AI_Food_Analyzer- Public

    Python

  5. WORK_WIZARD_CIH_2.0 WORK_WIZARD_CIH_2.0 Public

    CalmKarle: Stay focused and relaxed with intelligent mood monitoring and gentle reminders.

    Python

  6. Smaran_Study_Companion Smaran_Study_Companion Public

    Python