student notes / est. for the classroom

HTML, CSS, JavaScript, Python, data science, computer networks — written the way you'd explain it to a classmate, not a compiler.

Top Job & Internship Portals

Handpicked portals for fresher jobs, tech roles, and listings in Hyderabad

GFG

GeeksforGeeks

Tech & Software Roles

Visit →
INT

Internshala

Fresher Jobs & Internships

Visit →
GOOG

Google Careers

Global Google Openings

Visit →
APN

Apna Jobs

Local Jobs in Hyderabad

Visit →
INS

Instahyre

Tech Roles in Hyderabad

Visit →
NAUK

Naukri.com

Fresher Jobs in Hyderabad

Visit →
📢 Updated daily

Internship & Job Alerts

01

Latest notes

February 08, 2025

GITHUB Projects

 Project 1





Stock price analysis using different algorithms

https://github.com/codingacharya

Download code

see in app https://codingacharya-stock-price-analysis-app-taqjou.streamlit.app/

Procedure

Open command prompt and copy, paste the below data

step 1: Clone the Repository

git clone https://github.com/codingacharya/Stock-Price-Analysis.git


step 2: Navigate to the project directory

cd stock-price-analysis


step 3: Install the required python packages using PIP

pip install -r requirements.txt


step 4: Run the streamlit app

streamlit run app.py


Click on Deploy button to open from your mobile



Project 2

To analyze a company using BI(Business Intelligence)

Click here for Video analysis https://youtu.be/Wg4R-8avfnE

Click on link to download the code

https://github.com/codingacharya/company-analysis

step 1: git clone https://github.com/codingacharya/company-analysis.git

step 2: cd company-analysis

step 3: pip install pandas numpy matplotlib seaborn scikit-learn streamlit

step 4: streamlit run s1.py




Project 3


To visualize dataset with multiple graphs


Click here for Video analysis https://youtu.be/TRDEpnnq0Dg


Click on link to download the code


https://github.com/codingacharya/visualize.git


step 1: git clone https://github.com/codingacharya/visualize.git


step 2: cd visualize


step 3: pip install streamlit pandas matplotlib seaborn


step 4:streamlit run visualize.py




Project 4

Dataset visualization with 9 graphs

https://github.com/codingacharya


Click here for Video analysis https://youtu.be/Rp2ocPwdbdo


Click on link to download the code

https://github.com/codingacharya/datasetvisualization.git

step 1: git clone https://github.com/codingacharya/datasetvisualization.git


step 2: cd datasetvisualization


step 3: pip install streamlit pandas matplotlib seaborn openpyxl


step 4: streamlit run datasetvisualizer.py




Project 5

Image Processing

https://github.com/codingacharya

Click on link to download the code

https://github.com/codingacharya/imageprocessing.git

step 1: git clone https://github.com/codingacharya/imageprocessing.git


step 2: cd imageprocessing


step 3: pip install streamlit opencv-python numpy pillow


step 4: streamlit run imageprocessing.py



Project 6

Advanced data visualization

Click here for Video analysis https://youtu.be/Lchp82rZZyk

https://github.com/codingacharya/advancedvisualization.git


git clone https://github.com/codingacharya/advancedvisualization.git


cd advancedvisualization


pip install streamlit pandas plotly networkx


streamlit run advancedvisualization.py



Project 7

Stop words maker

Click here for Video analysis https://youtu.be/h0KQ3lRjNHM

https://github.com/codingacharya/stopwordsimagemaker.git

git clone https://github.com/codingacharya/stopwordsimagemaker.git


cd stopwordsimagemaker


pip install streamlit wordcloud nltk matplotlib


streamlit run stopwordsimagemaker.py



Project 8

Multi chart comparison

Click here for Video analysis https://youtu.be/0LhqhSr8IzY

https://github.com/codingacharya/multichartcomparison.git


git clone https://github.com/codingacharya/multichartcomparison.git


cd multichartcomparison


pip install streamlit plotly pandas


streamlit run multichartcomparison.py


Project 8

Analytics and visualization

Click here for Video analysis https://youtu.be/6H8fg6ECNgg

https://github.com/codingacharya/analyticsandvisualize.git


git clone https://github.com/codingacharya/analyticsandvisualize.git


cd analyticsandvisualize


pip install streamlit pandas matplotlib seaborn openpyxl


streamlit run analyticsandvisualize.py


Project 9

3D graph visualization

Click here for Video analysis https://youtu.be/1Uuj_Rb4XGY

git clone https://github.com/codingacharya/3dgraphvizualizaion.git


cd 3dgraphvizualizaion


pip install streamlit plotly pandas numpy


streamlit run 3dgraph.py


Project 10

Stock prediction with CSV

Click here for Video analysis https://youtu.be/7Oo_W3UHCLo

git clone https://github.com/codingacharya/stockpredictionwithcsv.git


cd stockpredictionwithcsv


pip install streamlit pandas scikit-learn matplotlib


streamlit run stockapp.py


Project 11

Categorical analysis

Click here for Video analysis https://youtu.be/rU2yB-IL-gQ

git clone https://github.com/codingacharya/categoricalanalysis.git


cd categoricalanalysis


pip install streamlit pandas seaborn matplotlib


streamlit run categoricalanalysis.py


Project 12

Auto recommendadtion

Click here for Video analysis https://youtu.be/xmGLEmi6yV0

git clone https://github.com/codingacharya/autorecommendation.git


cd autorecommendation


pip install streamlit pandas scikit-learn


streamlit run autorecommendation.py


Project 13

Sentiment analysis

Click here for Video analysis https://youtu.be/UpM3EPLyAYM

git clone https://github.com/codingacharya/sentimentanalysis.git


cd sentimentanalysis


pip install streamlit nltk


streamlit run sentimentanalysis.py


Project 14

Dataset Visualization

Click here for Video analysis https://youtu.be/spGoRqCk_PU

https://github.com/codingacharya/datasetvisualization.git

step 1: git clone https://github.com/codingacharya/datasetvisualization.git


step 2: cd datasetvisualization


step 3: pip install streamlit pandas matplotlib seaborn openpyxl


step 4: streamlit run datasetvisualizer.py



Project 15

Predict with multiple algorithms

steps to implement project


step 1: git clone https://github.com/codingacharya/predict-with-multiple-algorithms.git


step 2: cd predict-with-multiple-algorithms


step 3: pip install streamlit pandas numpy scikit-learn xgboost


step 4: streamlit run app.py


Project 16

Visualize

git clone https://github.com/codingacharya/visualize.git


cd visualize


pip install streamlit pandas matplotlib seaborn


streamlit run visualize.py


Project 17

Load and Predict

git clone https://github.com/codingacharya/load-and-predict.git


cd load-and-predict


pip install streamlit pandas scikit-learn pickle


streamlit run load.py


Project 18

Company Analysis

Click here for Video analysis https://youtu.be/zMJr-Fzkzms

step 1: git clone https://github.com/codingacharya/company-analysis.git


step 2: cd company-analysis


step 3: pip install pandas numpy matplotlib seaborn scikit-learn streamlit


step 4: streamlit run s1.py


Project 19

Indian Startup analysis


git clone https://github.com/codingacharya/indian-startup-analysis.git

cd indian-startup-analysis

pip install -r requirements.txt

streamlit run app.py


Project 20

Create your own GIT HUB project with STREAMLIT and visualize with 19 graphs

Click here for Video analysis https://youtu.be/ru6yqqpCzMk

git clone https://github.com/codingacharya/datavisualize.git


cd datavisualize


pip install streamlit pandas plotly seaborn matplotlib


streamlit run data.py



Project 21

Payroll automation(HR)

Click here for Video analysis 

git clone https://github.com/codingacharya/payrollautomation.git


cd payrollautomation


pip install streamlit pandas numpy


streamlit run payrollautomation.py



Project 22

attrition calculation for new employee

Click here for Video analysis 

git clone https://github.com/codingacharya/attritioncalculationfornewemployee.git


cd attritioncalculationfornewemployee


pip install streamlit pandas scikit-learn tensorflow torch torchvision matplotlib seaborn


streamlit run newemployee.py



Project 23

hr attrition calcualtion

Click here for Video analysis https://youtu.be/uiCpMFiJ2yE

git clone https://github.com/codingacharya/hrattritioncalcualtion.git


cd hrattritioncalcualtion


pip install streamlit pandas scikit-learn matplotlib seaborn


streamlit run attrition.py


Project 24

payroll analysis

Click here for Video analysis 


git clone https://github.com/codingacharya/payrollanalysis.git


cd payrollanalysis


pip install streamlit pandas matplotlib


streamlit run payroll.py


Project 25

Click here for Video analysis 

voting classifier

git clone https://github.com/codingacharya/votingclassifier.git


cd votingclassifier


pip install streamlit scikit-learn pandas


streamlit run voting.py



Project 25

3d graph vizualizaion

Click here for Video analysis 

git clone https://github.com/codingacharya/3dgraphvizualizaion.git


cd 3dgraphvizualizaion


pip install streamlit plotly pandas numpy


streamlit run 3dgraph.py



Project 26

python compiler

Click here for Video analysis 

step 1: git clone https://github.com/codingacharya/pythoncompiler.git


step 2: cd pythoncompiler


step 3: pip install streamlit


step 4: streamlit run compiler.py



Project 27

Dynamic Data Visualization

Click here for Video analysis https://youtu.be/1LXNejs4DAo


git clone https://github.com/codingacharya/categoricalvisualization.git


cd categoricalvisualization


pip install streamlit pandas matplotlib seaborn


streamlit run categorical.py



Project 28

Sentiment Analysis

Click here for Video analysis https://youtu.be/1Xci14lP0xw

MERN stack projects


git clone https://github.com/codingacharya/sentimentanalysis.git


cd sentimentanalysis


pip install streamlit nltk


streamlit run sentimentanalysis.py



Project 29

Blood maintenance app

Click here for Video analysis https://youtu.be/h6SPL6HUho4

MERN stack projects


git clone https://github.com/codingacharya/bloodmaintananceapp.git


cd bloodmaintananceapp


pip install -r requirements.txt


python app.py


Use MongoDB for database



Project 30

Dynamic Data Visualization

Click here for Video analysis https://youtu.be/h6SPL6HUho4


git clone https://github.com/codingacharya/categoricalvisualization.git

cd categoricalvisualization

pip install streamlit pandas matplotlib seaborn

streamlit run categorical.py




Project 31

React Vantara project - MERN stack (Front and back end)

Click here for Video analysis https://youtu.be/4u7LdI-pIM8


Open cmd and enter this commands

git clone https://github.com/codingacharya/react-vantara.git

cd react-vantara

cd backend

npm install

npm run dev

open new terminal

cd react-vantara

npm install

npm start

**works with mongoDB

create DB and collection**

DB - animalcare

collection - animals



Project 32

Blood Maintanance project - MERN stack (Front end)

Click here for Video analysis https://youtu.be/KOS52tRfShU


Open cmd and enter this commands

git clone https://github.com/codingacharya/bloodapp.git

cd bloodapp

npm install

npm start



Project 33

react-sql-analytics

Click here for Video analysis https://youtu.be/Dn41O8zyO6Q


watch video analysis https://youtu.be/Dn41O8zyO6Q

enter these cmds in cmd

git clone https://github.com/codingacharya/react-sql-analytics.git

cd react-sql-analytics

cd server

npm install

npm start

open cmd and enter these commands

cd react-sql-analytics

npm install

npm start



Project 34

kids-slate project

Click here for Video analysis https://youtu.be/Dn41O8zyO6Q


click this video link for execution procedure https://youtube.com/shorts/2TnnBqtvq2I?feature=share

enter these commands in cmd

git clone https://github.com/codingacharya/kids-slate.git

cd kids-slate

pip install flask

flask run




Project 35

babycare-ecommerce website

Click here for Video analysis https://youtube.com/shorts/-mwdi-ki-NE?feature=share

get code from github https://github.com/codingacharya/babycare-ecommerce.git



Project 36

University website code with React js

Click here for Video analysis https://youtube.com/shorts/KNNjHcpX4s8?feature=share

get code from github https://github.com/codingacharya/campus-showcase-gallery.git


git clone https://github.com/codingacharya/campus-showcase-gallery.git

cd campus-showcase-gallery

npm i

npm run dev




Project 37

Ecommerce website code with React js

Click here for Video analysis https://youtu.be/YepFt5kMdW0


# Step 1: Clone the repository using the project's Git URL.
git clone <YOUR_GIT_URL>

# Step 2: Navigate to the project directory.
cd <YOUR_PROJECT_NAME>

# Step 3: Install the necessary dependencies.
npm i

# Step 4: Start the development server with auto-reloading and an instant preview.
npm run dev




Project 38

Rapido like code with React js

Click here for Video analysis https://youtube.com/shorts/X0ZM1nwg5nk?feature=share

# Step 1: Clone the repository using the project's Git URL.
git clone <YOUR_GIT_URL>

# Step 2: Navigate to the project directory.
cd <YOUR_PROJECT_NAME>

# Step 3: Install the necessary dependencies.
npm i

# Step 4: Start the development server with auto-reloading and an instant preview.
npm run dev



Project 39

git clone https://github.com/codingacharya/objectdetect.git

cd objectdetect

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt

python app.py

youtube link https://youtu.be/vYdMVoCHMWE



Project 40

Hyderabad METRO ticket booking app - python

youtube link https://youtube.com/shorts/F5WDK9IYa2s?feature=share

git clone https://github.com/codingacharya/HYDMETRO.git

cd HYDMETRO

pip install streamlit

streamlit run ens.py








Objectives

https://github.com/codingacharya/revenuegrowthprediction

https://github.com/codingacharya/startupsurvivalmodelwithflask

https://github.com/codingacharya/stock




social media app

https://github.com/Faizan2911/Social-Media-Web-App-Mern-Stack-


Movie booking app

https://github.com/Akash-298/fullstack-movie-booking-app


E-commerce

https://github.com/ajaybor0/MERN-eCommerce


Expence tracker

https://github.com/shamahoque/mern-expense-tracker



for more projects visit

https://www.fynd.academy/blog/mern-stack-projects






2 comments:

02

Capstone resource hub

Codingacharya

Capstone Learning Resources, Notes & Project Hub

TCS NQT Questions
Read Notes
Machine Learning – ACE Theory
Read Notes
Machine Learning PPT
Read Notes
MachienLearning LAB
Read Notes
CSPT LAB programs
Read Notes
Time table and CSPT syllabus
Read Notes
Appreciations
Read Notes
ISTE life memberships
Read Notes
Artificial Intelligence & Analytics
Read Notes
Fullstack Web Dev
Read Notes
MERN Web Dev
Read Notes
Course Structure
Read Notes
Cloud Computing
Read Notes
90 Days ML Challenge
Read Notes
Advanced Analytics & Viz
Read Notes
Advanced Machine Learning
Read Notes
React JS
Read Notes
ML Chaitanya
Read Notes
Important Links
Read Notes
CSS Effects
Read Notes
RESUME
Read Notes
Bootstrap CSS
Read Notes
MongoDB
Read Notes
OWN Python Package
Read Notes
HTML Course
Read Notes
HTML Projects
Read Notes
GitHub Projects
Read Notes
Angular JS
Read Notes
Journals
Read Notes
NLP Notes
Read Notes
Videos
Read Notes
Data Analytics & Viz
Read Notes
Cloud Computing (Archive)
Read Notes
Open CV
Read Notes
jQuery
Read Notes
React JS (Archive)
Read Notes
Node JS
Read Notes
DAV Theory
Read Notes
DAV Lab
Read Notes
Big Data Notes
Read Notes
R-Programming
Read Notes
HADOOP Lab
Read Notes
GATE DA
Read Notes
JAVA Lab
Read Notes
Computer Networks
Read Notes
03

Live projects & profiles