Hi, I'm Atharva
Passionate developer from Pune, crafting beautiful and functional web experiences. Turning ideas into reality with clean code and modern design.
About Me
Electronics Engineer | AI-ML Enthusiast | Problem Solver
Atharva Mandavkar
B.Tech ECE | MIT WPU
Available for opportunities
Top Skills
Who I Am
👋 Hi! I'm Atharva Mandavkar, a passionate Electronics and Communication Engineering student from MIT World Peace University, Pune, graduating in March 2025.
🚀 I specialize in Machine Learning, Computer Vision, and IoT Systems. My journey has been driven by a desire to solve real-world problems using AI and embedded technologies.
🏆 I've had the privilege of winning multiple national hackathons including Smart India Hackathon 2023 and eYantra Innovation Challenge 2023-24, where our team won the Best Implementation Award at the National Finals.
💡 My expertise lies in developing end-to-end AI-ML solutions—from training deep learning models using PyTorch and YOLOv8to deploying them on edge devices like Raspberry Pi and STM32 microcontrollers.
🎯 When I'm not coding, I'm exploring new technologies, participating in workshops, or contributing to innovative projects that make a difference. I believe in continuous learning and pushing the boundaries of what's possible with technology.
Areas of Expertise
Machine Learning & AI
Deep Learning, Computer Vision, NLP
Programming
Multiple languages & frameworks
Cloud & Databases
AWS & Database Management
IoT & Embedded Systems
Hardware integration & protocols
Key Highlights
Smart India Hackathon 2023
Selected for National Level
eYantra Innovation Challenge
Best Implementation Award (National Finals)
AWS Academy Graduate
Cloud Foundations Certified
Featured Projects
Check out my latest work
NAS Network Attached Storage
A self-hosted file browser for local drives with authentication, role-based permissions, thumbnails, streaming, and search.
Secure Vault Pro
IA modern, feature-rich file encryption and data protection application with advanced security features including folder encryption, steganography, and password management.
Web AirDrop
Zero‑install, end‑to‑end browser transfers powered by WebRTC. Share files across devices with session codes or a QR — no accounts, no cloud storage..
Hotel Booking Web Application
A full‑stack hotel booking web application built with Flask and SQLAlchemy.
Real Estate Website
A full-featured real estate property management platform built with Flask, featuring property listings, user authentication, booking system, file uploads, alerting, email notifications, analytics, and a comprehensive admin dashboard.
Sign-to-Text Language Translator
A complete end–to–end pipeline that detects hand landmarks from a webcam using MediaPipe, extracts 63 keypoint coordinates, classifies them using a trained Conv1D neural network, builds words/sentences, gives word suggestions, and converts the detected text to speech using gTTS.
My Resume
Download or view my professional experience
Education
Bachelor of Technology
Electronics and Communication Engineering
Dr Vishwanath Karad MIT World Peace University, Pune
Roll No: 1032211830
Higher Secondary Education (12th)
Science Stream
Namo Rims Jr. College, Pune
Secondary Education (10th)
General Education
Sacred Heart Convent High School, Ratnagiri
Certifications
Quick Stats
Projects & Experience
DataLogger using Embedded Devices and Modbus
Atlas Copco Project
February 2024 - June 2024
Developed a Datalogger system for mining trucks to obtain and visualize relevant data from connected sensors using Modbus TCP/IP and MQTT protocols.
Real-Time Crime Detection & Crowd Management
Smart India Hackathon 2023 - Team EnvisionAI
September 2023 - March 2024
Created an AI-powered app for Indian Railway Authorities to prevent crime, manage crowd congestion, and monitor work on railway stations using advanced ML architectures.
Smart Crime Detection using Existing CCTV Infrastructure
eYantra Innovation Challenge 2023-24 - Team EnvisionAI
September 2023 - March 2024
Built a centralized database for authorities with alert systems, web app, and Android app for crime prevention using Vision Transformers.
E-Waste Segregation with OpenCV using YOLOv8
Independent Project
March 2023 - July 2023
Trained multiple YOLOv8 models (nano, small, medium, large, x-large) for multi-class E-waste classification and analyzed accuracy on Raspberry Pi 4b.
Achievements
eYantra Innovation Challenge 2023-24
April 2024Best Implementation Award at National Finals
Smart India Hackathon 2023
October 2023Selected for National Level Competition
MIT World Peace University HackMITWPU Workathon
March 2024Won Finals in Workathon Competition
Want to know more?
Download my complete resume for detailed information about my projects, technical skills, certifications, and achievements in AI/ML, Computer Vision, and IoT systems.
My Skills
Technologies and tools I work with
Programming Languages
Python
C
C++
MATLAB
R
HTML
CSS
AI/ML Frameworks
PyTorch
TensorFlow
OpenCV
YOLOv8
HuggingFace
ViViT
Developer Tools
Jupyter
VS Code
Git
GitHub
Docker
Tableau
Postman
Cloud & Databases
MySQL
MongoDB
AWS DynamoDB
PythonAnywhere
Excel
Embedded Systems & IoT
Raspberry Pi
STM32
Arduino
Modbus
MQTT
PLC
Soft Skills
Problem Solving
Communication
Teamwork
Critical Thinking
Leadership
Areas of Interest
Continuous Learner
I'm constantly expanding my skill set and staying up-to-date with the latest technologies in AI/ML, Computer Vision, and IoT. From training deep learning models to deploying them on edge devices, I enjoy working across the full stack of modern technology.
GitHub Activity
My coding journey visualized
Get In Touch
Let's work together on your next project
Let's Talk
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions. Feel free to reach out!