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bikram73/ReadMe.md



Waving Hand

πŸš€ Full Stack Developer | AI & ML Enthusiast

πŸ’« About Me:

Hi, my name is Bikram Manna. I am a full-stack developer with a strong passion for AI, Machine Learning, Deep Learning, Data Science, Computer Vision, and Healthcare AI–related work, where I can contribute my skills while learning from others. I enjoy teamwork, knowledge sharing, and building meaningful solutions through collaboration.

I am currently looking for guidance and support in areas such as model optimization, machine learning deployment using Flask and REST APIs, scaling models for production environments, and exploring advanced deep learning architectures to improve efficiency and performance.

At present, I am actively learning advanced machine learning and deep learning concepts, along with full-stack ML deployment techniques. I am also strengthening my fundamentals in Data Structures and Algorithms, Database Management Systems, Operating Systems, and Computer Networks to build a strong technical foundation.

You can ask me about Python, Machine Learning, Deep Learning, Computer Vision with OpenCV, Healthcare AI concepts, and building ML-powered web applications using Flask.



πŸ‘‰πŸ»πŸ…‘πŸ…˜πŸ…šπŸ…‘πŸ…πŸ…œ's PortfolioπŸ‘ˆπŸ»

πŸ…‘πŸ…˜πŸ…šπŸ…‘πŸ…πŸ…œ's Portfolio

πŸ‘†πŸ»

🌐 Socials:

Email LinkedIn X (Twitter) Instagram Facebook

πŸ’» Tech Stack:

Category Technologies / Tools
LANGUAGES C C++ Java Python JavaScript TypeScript HTML5 CSS3
HOSTING / SAAS Vercel AWS Google Cloud Hostinger
FRAMEWORKS / LIBRARIES React Next JS NodeJS Flask Django OpenCV Keras TensorFlow PyTorch scikit-learn
SERVERS Apache
DATABASES / ORM MySQL MongoDB SQLite
IDE & ENVIRONMENT VS Code Replit Google Chrome Microsoft Edge
DESIGN Canva Adobe Photoshop Bootstrap
ML / DL NumPy Pandas Matplotlib
CI/CD / VCS GitHub Git Anaconda Power BI
TESTING Jest PyTest Cypress
OTHER NVIDIA Cisco

πŸ’Ό My Top 5 Projects:

Here are some of my key projects showcasing my skills in Full-Stack Development, AI/ML, and Computer Vision:

A multimodal ML system for detecting Left Ventricular Hypertrophy (LVH) using ECG, MRI, and CT data.

An AI-powered system for recognizing Brahmilipi script characters from images and converting them into Kannada text.

A professional multi-factor authentication system built with Next.js 15, TypeScript, Tailwind CSS implementing standard OTP protocols.

An automated attendance system using Python, OpenCV, and ML, identifying individuals via live webcam feed.

An RTOS-based simulation project demonstrating interrupt-driven architectures and priority-based task scheduling for vehicle sensor management.

🚧 Currently Building:

  • πŸ”₯ Scalable Full-Stack Web Applications
  • πŸ€– AI & ML–powered real-world systems
  • ☁️ Cloud-deployed projects using AWS & Vercel
  • 🧠 Improving system design & backend performance

🎯 My Developer Mission:

I build intelligent, scalable, and user-focused software solutions that solve real-world problems through clean code and continuous learning.


🧠 What I Focus On:

βœ” Writing clean & maintainable code
βœ” Building production-ready applications
βœ” Applying AI/ML to practical use cases
βœ” Continuous learning & optimization

πŸ“ˆ Contribution Activity:

Activity Graph


πŸ“Š GitHub Stats:



πŸ” Top Contributed Repo:


πŸ† GitHub Trophies:


🎯 Profile Views Counter:

🐍 Contribution Snake

Snake animation


πŸ“Š GitHub Profile Summary Cards:

🧬 3D Contribution Graph

3D Contribution Graph

πŸ“Š GitHub Statistics

GitHub Metrics

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  1. Left_Ventricular_Hypertrophy_Detection Left_Ventricular_Hypertrophy_Detection Public

    πŸ«€ Left Ventricular Hypertrophy (LVH) Detection System This project presents a production-ready, multimodal machine learning system for the detection of Left Ventricular Hypertrophy (LVH) using ECG …

    HTML 2 2

  2. Brahmilipi_to_Kannada_Translator Brahmilipi_to_Kannada_Translator Public

    πŸ“œThe Brahmilipi to Kannada Character Recognition System is an AI-powered computer vision application designed to automatically recognize Brahmilipi script characters from images and convert them in…

    Python 1

  3. OTP-Generator-TOTP-HOTP-ChallengeResponse_OTP- OTP-Generator-TOTP-HOTP-ChallengeResponse_OTP- Public

    πŸ”The OTP Generator Application is a professional-grade multi-factor authentication (MFA) system built with Next.js 15, TypeScript, and Tailwind CSS. The project implements industry-standard OTP pro…

    TypeScript

  4. parent_teachers_meeting parent_teachers_meeting Public

    πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦The Parent Teachers Meeting Management System is a web-based application designed to streamline and digitize the process of organizing, managing, and conducting parent–teacher meetings in ed…

    PHP

  5. Face_Recognition_Attendance_System Face_Recognition_Attendance_System Public

    πŸ“±The Face Recognition Attendance System is a Python-based automated attendance management solution that uses computer vision and machine learning to identify individuals through a live webcam feed …

    Python

  6. Real-Time_Vehicle_Sensor_Management_System Real-Time_Vehicle_Sensor_Management_System Public

    πŸš—The Real-Time Vehicle Sensor Management System is an RTOS-based simulation project designed to demonstrate how interrupt-driven architectures and priority-based task scheduling operate in safety-c…

    HTML