Launched by PREKSHA Academy · Est. 2024

PREKSHA TECH CURRICULUM 2026

A comprehensive, future-ready tech education program designed for Class 6–12 students. Build real skills, real projects, and a real future in technology.

Commencement: April 1, 2026
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Core Tracks
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Class Levels (6–12)
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Hands-on Projects
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Equipment Budget
Program Overview

Why PREKSHA TECH?

A structured, industry-aligned curriculum that grows with students from foundational concepts to advanced, job-ready skills.

🎯
3

Core Technology Tracks

Coding & Web Development, IoT & Robotics, and AI/ML & Automation — covering the full spectrum of modern tech.

📅
Apr 1

Commencement Date

Official program launch on April 1, 2026. Orientation week from March 25–31, 2026. Equipment setup by March 20.

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7

Class Levels Covered

Class 6 through 12 with age-appropriate, progressive curriculum. Each class builds on the previous year's skills.

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80+

Hands-On Projects

Every module culminates in a real project. Students build portfolios, not just complete exams.

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5+

Dedicated Faculty

Specialized instructors for each domain: Web Dev, IoT, Robotics, AI/ML — each with industry experience.

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₹13L

Equipment Investment

Professional lab setup with master development PC, robotics kits, IoT boards, networking gear, and more.

Implementation Timeline

Road to April 1, 2026

January 2026
Planning & Procurement
Finalize curriculum, order all equipment, recruit faculty, prepare classrooms.
February 2026
Infrastructure Setup
Assemble Master Dev PC, install lab benches, configure network, set up IoT workstations.
March 1–20, 2026
Faculty Training & Dry Run
All instructors trained on curriculum. Dry-run classes conducted. Student registrations open.
March 21–31, 2026
Orientation Week
Welcome students, introduce tracks, issue kits, conduct lab tours. Parents' orientation on March 28.
April 1, 2026 🎉
OFFICIAL LAUNCH DAY
First classes begin. Inauguration ceremony, keynote by Technical Head Pratik Khatri.
April–June 2026
Quarter 1: Foundations
HTML/CSS, Electronics basics, Data Literacy. First mini-projects submitted by mid-May.
July–September 2026
Quarter 2: Intermediate
JavaScript, Arduino projects, Python for data. Mid-year assessments and project showcase.
October–December 2026
Quarter 3: Advanced Topics
React/Django, IoT cloud, ML with Scikit-learn, N8N automations. External guest sessions.
January–March 2027
Quarter 4: Capstone Projects
Year-end capstone projects, final demos, certificates. Second-year curriculum planning begins.
Interactive 3D

Tech Universe

Explore our three curriculum tracks brought to life in interactive 3D. Drag to rotate, scroll to zoom.

🧑‍💻

The Coder

Track 1 · Coding & Web Dev · Interactive

Drag to rotate · Scroll to zoom CLASS 6→12
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The Drone

Track 2 · IoT & Robotics · Interactive

Drag to rotate · Scroll to zoom IoT LIVE
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The Robot

Track 3 · AI/ML & Automation · Interactive

Drag to rotate · Scroll to zoom AI ACTIVE
Curriculum

Three Core Tracks

Each track is carefully structured for Class 6–12, building from fundamentals to advanced real-world applications.

💻
Track 1: Coding & Web Development
From HTML basics to full-stack MERN applications — no DevOps, no Capstone.
HTML5 / CSS3JavaScriptPythonDjangoNode.jsReact / MERN
Class 6

HTML5 & CSS3 Foundations

Students learn to structure and style web pages from scratch.

  • HTML tags: headings, paragraphs, lists, links, images, tables, forms
  • CSS: selectors, box model, flexbox, colours, fonts, backgrounds
  • Responsive design: media queries, mobile-first approach
  • Lab: Build a personal profile page and a school notice board page
  • Tools: VS Code, Chrome DevTools, browser live preview
  • Duration: 40 sessions × 45 min | Assessments: 2 quizzes + 1 project
Class 7

JavaScript Essentials

Bring web pages to life with interactivity and logic.

  • Variables, data types, operators, conditionals, loops, functions
  • DOM manipulation: querySelector, event listeners, innerHTML
  • ES6+ features: arrow functions, template literals, destructuring
  • Lab: Interactive quiz app, to-do list, colour-switching page
  • Tools: VS Code, Chrome Console, CodePen
  • Duration: 40 sessions × 45 min | Assessments: 3 quizzes + 1 project
Class 8

Python Programming Basics

Introduction to Python as a general-purpose and scripting language.

  • Python syntax, variables, strings, lists, tuples, dictionaries
  • Control flow: if/else, for/while loops, break/continue
  • Functions, modules, file I/O, error handling
  • OOP basics: classes, objects, inheritance
  • Lab: Calculator app, number guessing game, simple CSV file reader
  • Tools: Python IDLE, Thonny, Replit; Duration: 44 sessions × 45 min
Class 9

Django Web Framework

Build dynamic server-side web applications with Python and Django.

  • MVC/MVT architecture, Django project structure, settings
  • URL routing, views, templates, template inheritance
  • Models, ORM, SQLite database, migrations
  • Forms, CSRF, user authentication (login/signup)
  • Static files, media uploads, admin panel
  • Lab: Blog CMS, Student Portal with login; Duration: 48 sessions
Class 10

Node.js & Express Backend

Server-side JavaScript, REST APIs, and database integration.

  • Node.js runtime: event loop, modules (fs, path, http)
  • Express.js: routing, middleware, error handling, request/response
  • REST API design: GET, POST, PUT, DELETE endpoints
  • MongoDB with Mongoose: schemas, CRUD, queries
  • JWT authentication, bcrypt password hashing
  • Lab: RESTful Task API, News API consumer; Duration: 48 sessions
Class 11

React & Full-Stack MERN

Modern front-end development and end-to-end full-stack integration.

  • React: JSX, components, props, state, hooks (useState, useEffect)
  • React Router, Context API, custom hooks
  • Connecting React front end to Node/Express back end
  • Axios, Fetch API, error handling, loading states
  • Deployment: Vercel/Netlify (front end), Render/Railway (back end)
  • Lab: Full-stack e-commerce site (add/remove cart); Duration: 52 sessions
Class 12

Advanced JavaScript & Final Project

Production-grade patterns, performance, and year-end final project.

  • Async JS: Promises, async/await, error boundaries
  • Next.js basics: SSR, SSG, API routes
  • TypeScript fundamentals: types, interfaces, generics
  • Web performance: lazy loading, code splitting, caching
  • Accessibility (a11y), SEO basics, PWA introduction
  • Final Project: Real-world full-stack app (chosen by student team of 2)
🤖
Track 2: IoT & Robotics
Electronics, Arduino, Raspberry Pi, ESP32, sensors, motors, and cloud-connected smart systems.
ElectronicsArduinoRaspberry PiESP32MQTTComputer Vision
Class 6

Electronics Foundations & Tinkercad

Physical computing basics — understanding circuits before touching hardware.

  • Electricity basics: voltage, current, resistance, Ohm's Law
  • Components: LED, resistor, capacitor, transistor, relay, buzzer
  • Breadboard prototyping, circuit diagrams, safety rules
  • Tinkercad Circuits: simulate LED blink, button control, buzzer
  • Lab: Build a 5-LED chasing circuit on breadboard
  • Equipment: Component starter kit ₹500, Duration: 36 sessions
Class 7

Arduino Programming Basics

First steps with microcontrollers: code, pins, and peripherals.

  • Arduino Uno/Nano: pins, digital/analog I/O, PWM
  • Arduino IDE: sketches, setup(), loop(), Serial Monitor
  • Code: blink LED, read button, analogRead, map(), delay()
  • Libraries: Servo.h, LiquidCrystal.h, NewPing.h
  • Lab: Traffic light system, servo-controlled gate, LCD hello world
  • Equipment: Arduino Uno kit ₹800/student; Duration: 40 sessions
Class 8

Sensors, Motors & Actuators

Working with real-world inputs and physical outputs.

  • Sensors: HC-SR04 (ultrasonic), DHT11 (temp/humidity), PIR, LDR, MQ-2 (gas)
  • Motors: DC motor with L298N driver, stepper motor, servo motor
  • I2C communication: OLED display, MPU6050 gyro/accelerometer
  • Interrupt-driven programming, debouncing buttons
  • Lab: Auto-distance car, weather station, alarm system
  • Equipment: Sensor pack ₹1,200/student; Duration: 44 sessions
Class 9

Raspberry Pi & ESP32

Linux-based computing and Wi-Fi-enabled microcontrollers.

  • Raspberry Pi 4: Linux terminal, GPIO via Python (RPi.GPIO, gpiozero)
  • SSH, VNC, file transfer; running scripts on boot
  • ESP32: Wi-Fi/Bluetooth, MicroPython, WebServer on ESP
  • SPIFFS filesystem, NTP time sync, deep sleep modes
  • Lab: Pi-powered security camera, ESP32 Wi-Fi thermometer
  • Equipment: RPi 4 (2GB) + case ₹4,500; ESP32 ₹400; Duration: 48 sessions
Class 10

Advanced Arduino & MQTT IoT

Cloud-connected IoT systems using standard protocols.

  • MQTT protocol: broker, publisher, subscriber (Mosquitto, HiveMQ)
  • ESP32 + MQTT: publish sensor data, subscribe to commands
  • Node-RED: visual IoT programming, dashboard creation
  • ThingSpeak & Adafruit IO: cloud data logging, alerts
  • Lab: Smart home dashboard (temp, light, fan control from browser)
  • Equipment: Cloud accounts (free tiers); Duration: 48 sessions
Class 11

Computer Vision & Advanced IoT

Bringing intelligence to machines using cameras and edge AI.

  • OpenCV with Python: read camera, detect edges, draw contours
  • Face detection with Haar cascades, colour detection
  • TensorFlow Lite on Raspberry Pi: object detection model inference
  • OV7670 camera module with Arduino; ESP32-CAM module
  • Lab: Intruder alert system, colour-sorting robot arm
  • Equipment: USB webcam ₹800, ESP32-CAM ₹600; Duration: 52 sessions
Class 12

Integrated Robotics-IoT Project Year

Design and build a full autonomous robot system with cloud connectivity.

  • ROS (Robot Operating System) introduction: nodes, topics, services
  • Line-following & obstacle-avoidance robot with PID control
  • End-to-end project: robot reports status via MQTT, controlled from web UI
  • 3D-printed chassis design (Tinkercad → FDM print)
  • Final Demo: live autonomous robot presentation to panel
  • Equipment: Robot chassis kit ₹2,500; Duration: 52 sessions
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Track 3: AI, ML & Automation
Core AI/ML concepts, Python data science, GitHub workflows, N8N automation, and practical LLM tools.
Data LiteracyPython / PandasScikit-LearnTensorFlow LiteGitHubN8N Automation
Class 6

Data Literacy & Scratch AI

Understanding data, patterns, and introductory AI concepts visually.

  • What is data? Types: structured vs unstructured. Reading charts & graphs
  • Introduction to AI: what machines learn and how (no code — visual examples)
  • Scratch: build a basic interactive story with AI-style decision trees
  • Google Teachable Machine: train an image classifier with webcam (no code)
  • Lab: Train a model to recognise hand signs (rock, paper, scissors)
  • Duration: 30 sessions × 45 min | Tools: Scratch, Teachable Machine
Class 7

Data Stories & Excel/Sheets Analytics

Finding insights in real datasets using spreadsheet tools.

  • Google Sheets / Excel: SORT, FILTER, VLOOKUP, pivot tables
  • Charts: bar, line, scatter — choosing the right chart
  • Descriptive statistics: mean, median, mode, range, outliers
  • Real dataset exploration: cricket scores, weather data, population
  • Lab: "Our Class Data Story" — survey, analyse, present findings
  • Duration: 32 sessions | Tools: Google Sheets, Canva for presentations
Class 8

Python for Data Science

Introduction to Python libraries used in data analysis and visualisation.

  • NumPy: arrays, array operations, broadcasting, random module
  • Pandas: Series, DataFrame, read_csv, groupby, merge, dropna
  • Matplotlib & Seaborn: line, bar, scatter, heatmap plots
  • Data cleaning: handling missing values, duplicates, dtype conversion
  • Lab: Analyse IPL dataset — top scorer, team wins, visualise trends
  • Duration: 44 sessions | Tools: Jupyter Notebook / Google Colab
Class 9

Machine Learning Basics with Scikit-Learn

Understanding and implementing core ML algorithms with real datasets.

  • ML concepts: supervised vs unsupervised, training/test split, overfitting
  • Algorithms: Linear Regression, Logistic Regression, KNN, Decision Tree
  • Scikit-learn pipeline: fit, predict, score, confusion matrix
  • Feature engineering: encoding, scaling, feature importance
  • Lab: House price predictor, flower species classifier (Iris dataset)
  • Duration: 48 sessions | Tools: Google Colab, Scikit-learn, Matplotlib
Class 10

GitHub Workflows & N8N Automation

Version control and no-code/low-code automation — essential practical skills.

  • Git: init, add, commit, push, pull, branch, merge, conflict resolution
  • GitHub: repositories, pull requests, issues, Actions (CI basics)
  • N8N: visual workflow builder, webhooks, HTTP requests, JSON mapping
  • Automations: form → email, weather alert, Google Sheets → notification
  • Lab: Build a "GitHub profile auto-update bot" and a "daily weather emailer"
  • Duration: 44 sessions | Tools: GitHub, N8N (self-hosted on school server)
Class 11

Deep Learning Basics & TensorFlow

Neural networks, image classification, and deploying small models.

  • Neural network concepts: neurons, layers, activation, backprop (visual)
  • TensorFlow/Keras: Sequential model, Dense layers, compile, fit, evaluate
  • CNN for image classification: Conv2D, MaxPooling, Flatten
  • Transfer learning with MobileNetV2: fine-tune on custom dataset
  • Model export: .h5 / TFLite for deployment on Raspberry Pi
  • Lab: MNIST digit recogniser, custom image classifier (school objects)
Class 12

LLM APIs, AI Agents & Practical Automation

Using modern AI tools to build real-world intelligent applications.

  • OpenAI / Gemini API: text generation, chat completion, function calling
  • Prompt engineering: zero-shot, few-shot, chain-of-thought techniques
  • Building an AI agent: tool use, memory, task loop with Python
  • N8N advanced: multi-step AI workflow, Slack/email integration
  • Ethical AI: bias, hallucination, responsible use guidelines
  • Final Project: AI-powered study assistant chatbot with RAG (simple)
Weekly Schedule

Sample Weekly Timetable

Classes run Monday–Saturday, 2 tracks per day, with dedicated lab time on Saturday.

Time Slot Monday Tuesday Wednesday Thursday Friday Saturday
9:00–10:30 Coding (Cl.6–8) IoT/Robotics (Cl.6–8) AI/ML (Cl.6–8) Coding (Cl.9–12) IoT/Robotics (Cl.9–12) Open Lab / Project Time
11:00–12:30 IoT/Robotics (Cl.9–12) Coding (Cl.6–8) IoT/Robotics (Cl.6–8) AI/ML (Cl.9–12) Coding (Cl.6–8) Robotics Workshop
2:00–3:30 AI/ML (Cl.9–12) AI/ML (Cl.6–8) Coding (Cl.9–12) IoT/Robotics (Cl.9–12) AI/ML (Cl.9–12) Doubt Clearing / Assessment
4:00–5:00 Project Mentoring Project Mentoring Guest Session / Demo Project Mentoring Quiz / Presentation Parent Demo (Monthly)
Featured Projects

Real-World Projects & Assignments

Every student builds tangible, portfolio-worthy projects. Below are flagship builds across all three tracks.

Track 1 — Coding & Web Development Projects

Coding / Web Dev · Class 6
School Digital Notice Board
HTML5 + CSS3 · Individual · 2 weeks
A fully responsive static website displaying school announcements, events, timetable, and teacher info — built entirely with HTML and CSS. Includes a dark/light theme toggle using CSS variables.
HTML5CSS GridFlexboxCSS VariablesMedia Queries
2 weeks IndividualBeginner
Coding / Web Dev · Class 7
Interactive Quiz Platform
JavaScript DOM · Individual · 3 weeks
A 20-question multiple-choice quiz on any school subject. Features a timer, score tracker, animated result screen, and "review wrong answers" functionality. Questions stored in a JSON array.
Vanilla JSDOM APIJSONlocalStorageCSS Animations
3 weeksBeginner
Coding / Web Dev · Class 8
Student Grade Manager (Python CLI)
Python · Individual · 2 weeks
A command-line application that stores student names and marks in a CSV file. Users can add, search, update, and delete records. Calculates grade, percentage, and class rank automatically.
PythonCSV ModuleOOPFile I/OData Structures
2 weeksIntermediate
Coding / Web Dev · Class 9
PREKSHA Academy Blog CMS
Django · Pair Project · 4 weeks
A content management system for the school blog. Teachers can log in, write/edit/delete posts with a rich text editor. Students can read, search, and comment. Fully deployed on PythonAnywhere free tier.
DjangoSQLiteBootstrap 5AuthenticationPythonAnywhere
4 weeks PairIntermediate
Coding / Web Dev · Class 10
RESTful Task Management API
Node.js + MongoDB · Individual · 3 weeks
A production-style REST API for task management (like Trello). Supports user registration, JWT login, CRUD tasks with deadlines and priority tags. Tested with Postman and deployed on Render.
Node.jsExpressMongoDBJWTPostmanRender
3 weeksIntermediate
Coding / Web Dev · Class 11–12
Full-Stack E-Commerce Platform
MERN Stack · Team of 2 · 6 weeks
A complete online store with React front end, Node/Express back end, MongoDB database, user auth, product catalog, cart, order management, and a basic admin panel. Deployed live on Vercel + Railway.
ReactNode.jsMongoDBReduxStripe (test)Deployment
6 weeks Team 2Advanced

Track 2 — IoT & Robotics Projects

IoT & Robotics · Class 6
5-LED Chasing Circuit
Electronics · Individual · 1 week
Students build a sequentially-blinking LED circuit on breadboard using resistors, a NE555 timer chip, and capacitors. Simulated first in Tinkercad, then physically constructed. Documentation includes a circuit diagram.
BreadboardNE555 TimerLEDsTinkercadCircuit Diagrams
Beginner
IoT & Robotics · Class 7–8
Automated Smart Parking System
Arduino + Sensors · Pair · 3 weeks
An Arduino-based parking lot model that uses two HC-SR04 ultrasonic sensors to detect car entry/exit, controls a servo barrier gate, and displays "FULL/AVAILABLE" on an I2C LCD screen.
Arduino UnoHC-SR04Servo MotorI2C LCDC++ Arduino
3 weeksIntermediate
IoT & Robotics · Class 9
Wi-Fi Environment Monitor
ESP32 + MQTT · Individual · 3 weeks
An ESP32 reads DHT22 (temp+humidity), BMP280 (air pressure), and MQ135 (air quality) sensors, then publishes data every 30 seconds to an MQTT broker. A Node-RED dashboard on Raspberry Pi displays live charts.
ESP32MQTTDHT22BMP280Node-REDRPi
Intermediate
IoT & Robotics · Class 10
Smart Home Control Dashboard
IoT Cloud + Web · Team of 2 · 4 weeks
A full smart home simulation: ESP32 controls LED (light), DC fan (via L298N), and reads temperature. All controllable from a custom React/HTML web dashboard via ThingSpeak API. Includes scheduling and alert features.
ESP32ThingSpeakREST APIHTML/JSL298NMQTT
4 weeksIntermediate
IoT & Robotics · Class 11
AI Intruder Alert System
OpenCV + RPi · Team of 2 · 4 weeks
Raspberry Pi camera continuously monitors a room. OpenCV detects motion via background subtraction; Haar cascade confirms a human face. On detection, sends a Telegram message with a snapshot. Includes a web dashboard to view live feed.
OpenCVPythonRaspberry PiTelegram APIFlask
4 weeksAdvanced
IoT & Robotics · Class 12
Autonomous Line-Following Robot
ROS + Arduino · Team of 3 · 6 weeks
A 4-wheel robot that follows a black line on white floor using 5 IR sensors, avoids obstacles via ultrasonic sensor, and reports position + speed to a web dashboard via MQTT. Final demo includes autonomous lap around a test track.
Arduino MegaIR SensorsPID ControlMQTTNode-REDROS Intro
6 weeks Team 3Advanced

Track 3 — AI/ML & Automation Projects

AI/ML · Class 6–7
Rock-Paper-Scissors AI (Teachable Machine)
No-code ML · Individual · 2 weeks
Students train a hand-gesture recognition model using Google Teachable Machine with 3 custom classes (rock, paper, scissors). The exported model is embedded into a simple web page that plays the game against the AI in real time.
Teachable MachineTensorFlow.jsHTML/JSWebcam API
Beginner
AI/ML · Class 8
IPL Batting Analyser Dashboard
Pandas + Matplotlib · Individual · 3 weeks
A full data analysis project on a real IPL dataset (2008–2023). Cleans data with Pandas, answers 10 analytical questions, produces 6 charts, and packages findings into a Jupyter notebook with a PDF report.
PandasNumPyMatplotlibSeabornJupyter
3 weeksIntermediate
AI/ML · Class 9
House Price Predictor
Scikit-Learn · Individual · 3 weeks
A Linear Regression model trained on the Boston Housing dataset predicts house prices based on 13 features. Includes EDA, feature correlation heatmap, model training, evaluation (RMSE, R²), and a simple Streamlit UI to enter values and get predictions.
Scikit-LearnLinear RegressionStreamlitEDAFeature Engineering
3 weeksIntermediate
AI/ML · Class 10
GitHub Auto-Update Bot + Weather Emailer
N8N + GitHub API · Individual · 2 weeks
Two practical automation projects: (1) An N8N workflow that updates a GitHub profile README daily with motivational quotes and current weather. (2) An N8N flow that emails a daily weather briefing to a list of subscribers using the OpenWeather API.
N8NGitHub APIOpenWeather APIWebhooksSMTP
2 weeksIntermediate
AI/ML · Class 11
MNIST Digit Recogniser (CNN)
TensorFlow/Keras · Individual · 3 weeks
A CNN trained on the MNIST dataset achieves >99% accuracy. The model is exported as TFLite, deployed on Raspberry Pi, and wrapped in a Flask web app where students can draw a digit on a canvas and see real-time recognition.
TensorFlowKeras CNNTFLiteFlaskHTML Canvas
3 weeksAdvanced
AI/ML · Class 12
AI Study Assistant Chatbot (RAG)
LLM APIs + RAG · Team of 2 · 5 weeks
A chatbot that answers questions about the PREKSHA curriculum. PDFs are chunked and embedded (using OpenAI embeddings); a FAISS vector store enables retrieval. The Gemini API generates contextual answers. Deployed as a React web app on Vercel.
OpenAI APIFAISSLangChainReactPrompt EngineeringRAG
5 weeks Team 2Advanced
Our Team

Responsibility Matrix

Clear ownership for every task — from equipment procurement to weekly classes. Five dedicated team members, one shared mission.

👨‍💻
Pratik Khatri
TECHNICAL DEVELOPMENT HEAD

Curriculum design, Master PC setup, Track 3 AI/ML instruction, faculty training lead.

HEAD
📊
Pratik Kasera
ADMINISTRATIVE HEAD

Budget management, equipment procurement, student admissions, marketing, and parent communications.

ADMIN
🌐
Soumy Kasera
WEB DEVELOPER & INSTRUCTOR

Track 1 (Coding) instruction, school tech portal development, student project submission platform.

WEB DEV
⚡
Shakshi Ma'am
IoT DEVELOPER & INSTRUCTOR

IoT & Robotics track instruction (IoT side: ESP32, MQTT, smart home), lab bench setup, safety protocols.

IoT DEV
🦾
Akhilesh Sir
ROBOTICS & HARDWARE

Robotics & Hardware instruction (Arduino, RPi, robot builds), hardware assembly, soldering station management.

ROBOTICS
# Task / Responsibility Owner Support Deadline Priority Status
PRE-LAUNCH TASKS (before April 1, 2026)
1 📋Finalise complete curriculum for all 3 tracks × 7 classes with lab sheets Pratik Khatri Soumy, Shakshi, Akhilesh Jan 31, 2026 ● HIGH 🔵 In Progress
2 💻Assemble and configure Master Development PC (Ryzen 9 + RTX 4070) Pratik Khatri Akhilesh Sir Feb 20, 2026 ● HIGH 🟡 Pending
3 🛒Procure all lab equipment (Arduino ×20, RPi ×8, ESP32 ×20, sensors, etc.) Pratik Kasera Shakshi Ma'am, Akhilesh Sir Feb 28, 2026 ● HIGH 🟡 Pending
4 🏗️Set up IoT lab benches, wiring harnesses, safety stations, component drawers Shakshi Ma'am Akhilesh Sir Mar 10, 2026 ● HIGH 🟡 Pending
5 🔬Set up Robotics workshop: soldering stations, component storage, safety gear Akhilesh Sir Pratik Khatri Mar 10, 2026 ● HIGH 🟡 Pending
6 🌐Deploy school tech portal, student login system, and project submission platform Soumy Kasera Pratik Khatri Mar 15, 2026 ◉ MED 🟡 Pending
7 📝Prepare all teaching material: slides, handouts, lab sheets (Track 1 — Coding) Soumy Kasera Pratik Khatri Mar 20, 2026 ● HIGH 🟡 Pending
8 📝Prepare all teaching material: slides, handouts, lab sheets (Track 2 — IoT) Shakshi Ma'am Akhilesh Sir Mar 20, 2026 ● HIGH 🟡 Pending
9 📝Prepare all teaching material: slides, handouts, lab sheets (Track 2 Robotics + Track 3) Akhilesh Sir Pratik Khatri Mar 20, 2026 ● HIGH 🟡 Pending
10 🎓Faculty training and full curriculum dry run (all tracks, all classes) Pratik Khatri All Faculty Mar 25, 2026 ● HIGH 🟡 Pending
11 👤Student admissions, fee collection, ID cards, and starter kit distribution Pratik Kasera All Staff Mar 31, 2026 ● HIGH 🟡 Pending
12 📣Marketing: social media posts, brochures, school partnerships, community outreach Pratik Kasera Soumy Kasera Mar 15, 2026 ◉ MED 🟡 Pending
ONGOING (April 2026 onwards)
13 💻Deliver Coding & Web Dev classes + lab sessions (Track 1, Classes 6–12) Soumy Kasera Pratik Khatri Weekly ● HIGH 🔵 Recurring
14 ⚡Deliver IoT classes and lab sessions (Track 2 IoT side, all levels) Shakshi Ma'am Akhilesh Sir Weekly ● HIGH 🔵 Recurring
15 🤖Deliver Robotics classes and hardware lab (Track 2 Robotics side, all levels) Akhilesh Sir Shakshi Ma'am Weekly ● HIGH 🔵 Recurring
16 🧠Deliver AI/ML & Automation classes (Track 3, all classes, all levels) Pratik Khatri Soumy Kasera Weekly ● HIGH 🔵 Recurring
17 📊Monthly progress reports, parent communications, and student feedback collection Pratik Kasera All Faculty Monthly (last Friday) ◉ MED 🔵 Recurring
18 🔧Lab maintenance: equipment checks, component restocking, safety audits Akhilesh Sir Shakshi Ma'am Bi-weekly ◉ MED 🔵 Recurring
19 🌐Maintain student portal, project submission platform, and academy website Soumy Kasera Pratik Khatri Ongoing ◉ MED 🔵 Recurring
20 🏆Quarterly project showcase, awards ceremony, and media documentation Pratik Kasera Pratik Khatri + All Faculty Quarterly ○ LOW 🔵 Recurring
Equipment & Budget

Lab Equipment & Required Hardware

Complete equipment list with quantities, unit costs, and responsible person for procurement. Total budget: ₹13,00,000.

All equipment must be procured by February 28, 2026. Responsible: Pratik Kasera (Admin Head) with technical specs verified by Pratik Khatri.
💻 Computing Lab
Master Dev PC (custom build)×1₹1,20,000
Student Workstations (i5, 16GB, SSD)×10₹4,00,000
24" Full HD Monitors (extra)×5₹40,000
Mechanical Keyboards + Mice×12₹30,000
Ethernet switch (24-port gigabit)×1₹8,000
Wi-Fi Router (dual-band AC)×2₹6,000
USB hubs, cables, adaptors×20₹5,000
Computing Sub-total₹6,09,000
🤖 Robotics & Arduino Lab
Arduino Uno R3 (original)×20₹24,000
Arduino Mega 2560×5₹10,000
Raspberry Pi 4 (2GB) + Case + PSU×8₹40,000
ESP32 Dev Boards×20₹8,000
Robot chassis kits (4WD)×8₹16,000
Servo motors (SG90, MG996R)×40₹8,000
DC motors + L298N drivers×20₹4,000
Soldering stations + accessories×5₹10,000
Robotics Sub-total₹1,20,000
⚡ IoT & Sensor Lab
Sensor starter packs (37-in-1)×15₹22,500
Breadboard (830-point)×30₹6,000
Jumper wire sets (M-M, M-F, F-F)×30₹9,000
OLED 0.96" I2C display modules×20₹6,000
16×2 LCD + I2C backpack×15₹4,500
ESP32-CAM modules×8₹4,800
Digital multimeters×10₹8,000
Power supplies (variable DC)×5₹12,500
IoT Sub-total₹73,300
🧠 AI/ML Equipment
USB HD Webcams (1080p)×10₹8,000
NVIDIA Jetson Nano (4GB)×2₹24,000
External GPU (RTX 3060) for Master PC×1₹28,000
32GB microSD cards (Class 10)×20₹6,000
HDMI cables + splitters×10₹3,000
Portable projector (for demo days)×1₹25,000
AI/ML Sub-total₹94,000
🏗️ Infrastructure & Furniture
Lab workbench tables (6-seater)×6₹60,000
Ergonomic chairs×30₹60,000
Component storage cabinets×4₹20,000
Whiteboard + interactive smart board×2₹30,000
Fire extinguisher (electronics grade CO2)×2₹4,000
UPS (1KVA) for critical equipment×3₹15,000
Air conditioning units (1.5 ton inverter)×2₹70,000
Infrastructure Sub-total₹2,59,000
💰 Budget Summary
Computing Lab₹6,09,000
Robotics & Arduino Lab₹1,20,000
IoT & Sensor Lab₹73,300
AI/ML Equipment₹94,000
Infrastructure & Furniture₹2,59,000
Consumables & Contingency (10%)₹44,700
GRAND TOTAL₹13,00,000
Master Dev PC

Master Development PC Setup

Specified by Pratik Khatri (Technical Head). Serves as the primary AI training, development, and demonstration workstation for PREKSHA Academy. Select components to see total cost.

Requested by: Pratik Khatri — Technical Development Head. Setup deadline: February 20, 2026. Assembled by: Akhilesh Sir (hardware) + Pratik Khatri (software config). This PC runs AI model training (TF/PyTorch), local N8N server, Mosquitto MQTT broker, Node-RED, Docker, and serves as the teacher's demo machine for all 3 tracks.
🖥️ Processor (CPU)
AMD Ryzen 9 7900X (12C/24T, 4.7GHz) ← SELECTED₹38,000
Intel Core i9-13900K (24C, 5.8GHz)₹48,000
AMD Ryzen 7 7800X3D (8C, 5.0GHz) — Budget Option₹28,000
🃏 Graphics Card (GPU)
NVIDIA RTX 4070 (12GB GDDR6X) ← SELECTED₹55,000
NVIDIA RTX 4060 Ti (16GB GDDR6)₹42,000
AMD RX 7700 XT (12GB GDDR6)₹35,000
💾 RAM (System Memory)
64GB DDR5 6000MHz (2×32GB) ← SELECTED₹14,000
32GB DDR5 5600MHz (2×16GB)₹8,000
💿 Storage
2TB NVMe PCIe 4.0 SSD + 4TB HDD ← SELECTED₹12,000
1TB NVMe SSD + 2TB HDD₹7,500
🔌 Motherboard & PSU
ASUS ProArt X670E-CREATOR + ASUS 850W Gold ← SELECTED₹18,000
MSI MAG X670E TOMAHAWK + Seasonic 750W Gold₹14,000
📦 Case & Cooling
Lian Li Lancool 216 + 360mm AIO Cooler ← SELECTED₹8,000
NZXT H7 + 240mm AIO Cooler₹6,500
🖥️ Displays
Dual 27" QHD 165Hz IPS Monitors ← SELECTED₹22,000
Single 32" 4K 60Hz Monitor₹18,000
💿 Software Stack (Pre-installed)
🐧 Ubuntu 22.04 LTS (Dual boot)
🪟 Windows 11 Pro
🐍 Python 3.11 + Conda
⚡ VS Code + Extensions
🔧 Arduino IDE 2.x
🤖 TensorFlow + PyTorch
🔄 N8N (self-hosted)
📡 Mosquitto MQTT Broker
🌊 Node-RED (local)
📊 Jupyter + Google Colab
🐳 Docker Desktop
🗂️ Git + GitHub CLI
🖥️ Your PC Configuration
CPURyzen 9 7900X
GPURTX 4070 12GB
RAM64GB DDR5
Storage2TB NVMe + 4TB HDD
Mobo + PSUASUS X670E + 850W
Case + CoolingLancool 216 + 360 AIO
DisplayDual 27" QHD
Estimated Total₹1,67,000
Prices are approximate. Final purchase approved by both Pratik Khatri and Pratik Kasera.
Program Analytics

Curriculum Analytics & Insights

Data-driven view of the curriculum — hours distribution, projected enrollment, skill complexity progression, and budget allocation across categories.

Instructional Hours per Track by Class Level
Projected Enrollment Distribution by Track
Curriculum Complexity Progression (Class 6→12)
Equipment Budget Allocation by Category
Assessment Framework

Evaluation Methodology

A balanced, continuous assessment model that prioritises practical project work over rote memorisation.

📊 Coding Track Assessment
Project Work
50%
Quizzes & Tests
20%
Lab Exercises
20%
Peer Review
10%
⚡ IoT & Robotics Assessment
Hardware Build
45%
Code Quality
25%
Lab Report
20%
Demo Day
10%
🧠 AI/ML Assessment
Project / Notebook
50%
Model Performance
25%
Concept Tests
15%
Presentation
10%
🏆 Grading Scale
A+ (90–100%)
A+
A (80–89%)
A
B (70–79%)
B
C (60–69%)
C
Needs Work (<60%)
D