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Jignesh Rana

Backend Developer

Aspiring Full-Stack Developer and Software Engineer with hands-on experience in research, web development, backend systems, and building scalable, AI-powered solutions to address real-world challenges.

Notable Achievements

Key milestones and recognition throughout my career journey.

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Published Research Paper at IJRASET Journal

The paper describes an Android app that functions as a generator for electrical waveforms such as sine, square, and sawtooth waves. This app aims to make generating AC signals, typically used in labs, accessible via smartphones, offering practical use in remote locations where traditional generators are impractical to transport

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Second Place at National Level Project Presentation Punyashlok Ahilyabai Holkar Solapur University

Won 2nd Prize at a National-Level Project Presentation Competition for developing and demonstrating a budget-friendly agricultural drone that automated field monitoring, offering an accessible solution for middle-class farmers.

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Second Place at National Level Project Competition Vidyavardhini College of Engineering and Technology

Won 2nd Prize at VNPS National-Level Project Competition for presenting a budget-friendly smart irrigation system that enabled lower-middle-class farmers to automate field management over large areas, offering global remote control without reliance on internet connectivity.

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Work Experience

Professional roles and responsibilities throughout my career.

Research Assistant

Atharva College of Engineering (Feb 2024-Aug 2024)

Worked on a PHR System to manage personal health records securely and efficiently.

  • Designed and implemented a robust access control system integrated with encryption algorithms to enhance data security in a decentralized Personal Health Record (PHR) environment, ensuring confidentiality and data integrity.
  • Developed a scalable web application using efficient backend algorithms, focused on delivering a user-centric experience with improved performance and security
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WEQ Technologies

Backend Web Developer Intern (June 2021-Aug 2021)

Worked on their project to integrate backend with frontend.

  • Built responsive web forms with data validation and OAuth2 authentication for secure user access.
  • Developed backend using Node.js and managed data with MongoDB for a live web application.
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Projects

A collection of my work, side projects, and experiments.

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ReMood

This project explores the intersection of emotion recognition technology and playing music by developing a system capable of dynamically curating playlists based on the user's real-time facial expressions. Through the utilization of machine learning algorithms, facial emotion detection is performed in real-time, enabling the system to understand the user's emotional state

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PHR System

A Personal Health Record (PHR) system is a secure, decentralized platform for storing and managing individual health data, including medical history, prescriptions, and test results.

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AgroDew

AgroDew is an intelligent irrigation system designed for small and mid-scale farmers. It enables remote control of water sprinklers via a Flutter-based mobile app, provides real-time weather updates, schedules irrigation, detects plant diseases using a supervised machine learning model, and supports offline functionality through SMS commands using GSM modulesβ€”ensuring usability even in low-connectivity rural areas. The system integrates IoT (ESP32, sensors, relays), TFLite for on-device ML, and MQTT/REST protocols for seamless communication. AgroDew helps save water, reduce crop loss, and improve farming efficiency.

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Agro Drone

AgroDrone is a smart agricultural drone project integrating IoT and AI technologies. It features object detection, obstacle avoidance, auto take-off, and crop quality analysis using a YOLO model. Designed to support precision farming, AgroDrone helps farmers monitor crop health and optimize yield through real-time data and intelligent automation.

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CodeGeneration Bot

This project evaluates the performance of five open-source Large Language Models (LLMs) in generating Python pandas code from natural language queries. The models are tested on energy data use cases such as computing daily trends, correlations, and plotting patterns for energy disaggregation.

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Ai-Studios

Ai-Studios is a web-based platform that democratizes AI-powered content creation. It enables users to generate fictional stories, poems, and high-quality images from simple text prompts using large language models (LLMs), text-to-image diffusion models, and text-to-speech technology.

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ExpenseTracker

Daily Expense Tracker is a Python-based desktop application built using Tkinter for the GUI. It enables users to create accounts, log in, add income with source details, and manage expenses with real-time balance checks. Users cannot add expenses exceeding their balance, ensuring accurate tracking. The app also features a visual insights section where users can select a specific month and year to generate pie charts displaying their expenses and savings, offering a clear overview of their financial activity.

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PhysioEquip-Surgical

PhysioEquip-Surgical is a Python-based desktop application developed using Tkinter for the GUI. It allows users to browse, buy, or rent physiotherapy equipment for personal use. New users can register and existing users can log in to explore available products, view details, and choose between purchase or rental options. The system manages inventory, tracks rental durations, and ensures smooth transactions. Designed for convenience, PhysioEquip-Surgical aims to make physiotherapy equipment easily accessible for patients and caregivers through a simple, user-friendly interface.

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