Final-year CS student, full-stack projects. Also a rapper. Looking to learn and contribute.

github

Savyasachi Mishra  • Peerlist

I turned every Indian kid’s childhood nightmare into a physics game. They say "Necessity is the mother of invention," but in India, "Mother is the necessity for discipline." I built Indian Mummy: Chappal—an Angry Birds-style physics game where you play as a Desi Mom aiming for a mischievous kid. The game features: Regional Mummies: Select from Punjabi, Tamil, Bengali, and more (each with unique voice lines like "Aiyo!" or "Oye!"). Weapon of Choice: From the aerodynamic "Hawai Chappal" to the "Legendary Gold Slipper." Real Scenarios: 40 levels based on actual crimes, like "Forgot Tiffin," "Guest WiFi Password Change," and the "Tupperware Loss." Zero image files were used. Every character, saree pattern, and background is drawn dynamically using HTML5 Canvas & JavaScript. The audio? 100% procedural using the Web Audio API.

Indian Mummy Chappal

I built a coding mentor using Spring Boot. Stop guessing what to practice on LeetCode. I built Student Skill Tracker, an app that analyzes your coding profile and tells you exactly what to focus on next. It finds your weak spots—like Algorithms or Data Structures—and generates a personalized daily plan to fix them. It’s about coding smarter, not just harder. Stack: Java, Spring Boot, Hibernate, REST APIs. Check it out here: https://github.com/mechreaper007x/student-skill-tracker It is still under development an LLM can be plugged in and make it a personalised application.

Student Skill Tracker

I’ve always believed that technology should do more than just execute tasks—it should help us understand ourselves. That’s why I built MoodJournal, a full-stack AI application designed to bridge the gap between mental wellness and data analytics. MoodJournal isn’t just a diary; it’s an intelligent companion, the app analyzes journal entries to detect subtle emotional nuances, providing users with actionable insights into their mental well-being. Key Features: * Smart Sentiment Analysis: Real-time emotion detection using a Gemini API. * Deep Analytics: Visualizing mood trends over time with interactive charts. * Personalized Goals: AI-driven suggestions for mental growth. * Privacy First: Secure JWT authentication and local-first data principles. Building this taught me the power of connecting robust backend architecture (Java Spring Boot) with a reactive, intuitive frontend (React + Tailwind). Excited to share this journey of merging psychology and software engineering! 🚀

Mood Based Journal

During my internship, I built a Complaint Management System—a digital bridge between user grievances and administrative action. In any organization, feedback can easily get lost in the noise; this project ensures every voice is heard and every issue is tracked to resolution with surgical precision. The "Why": Efficiency is nothing without accountability. I wanted to build a system that replaces chaotic email chains with a structured, transparent workflow. Core Functionality: Seamless Life-cycle Tracking: From initial filing to final resolution, ensuring nothing falls through the cracks. Role-Based Workflows: Distinct interfaces for Users and Admins to maintain security and focus. Real-time Status Updates: Keeping the user in the loop and reducing the "uncertainty gap." Tech Stack: [Insert Tech here, e.g., Spring Boot, MySQL, Java] This project was a deep dive into building systems of trust. It’s not just about CRUD operations; it’s about creating a reliable channel for communication in a complex environment.