Web Development Projects

Online Voting System

  • Secure voting with face recognition or OTP authentication.
  • Ensures one vote per user through unique identifiers and verification.
  • Provides a real-time dashboard for vote counting and results visualization.
  • Supports admin panel for managing elections, candidates, and voters.
  • Implements secure login with encryption for user data protection.
  • Handles scalability for large voter bases with real-time updates.
  • Outputs vote results and analytics via interactive charts and tables.

Technologies: Flask/Django, Djangorestframework/Flask-RESTful, face_recognition, django-allauth/Flask-Login, Celery, Redis, PostgreSQL/SQLite, Chart.js/Plotly, HTML, CSS, JavaScript (Bootstrap), JWT

College ERP System

Manages student, teacher, and administrative tasks like attendance, marks, and schedules.

  • Manages students, teachers, attendance, and marks.
  • Role-based dashboards for admins, teachers, students.
  • Automated attendance tracking and reports.
  • Handles marks entry and result generation.
  • Manages schedules and announcements.
  • Ensures secure access with role-based permissions.
  • Downloadable reports and interactive dashboards.

Technologies: Django, Djangorestframework, django-filter, django-crispy-forms, PostgreSQL/MySQL, Celery, Redis, Chart.js/Django-Plotly-Dash, HTML, CSS, JavaScript (Bootstrap/Tailwind), jQuery

Online Examination Portal

Hosts MCQ and subjective tests with secure student login.

  • Hosts MCQ and subjective tests with secure login.
  • Timed exams with auto-submission.
  • Auto-generates results using answer keys.
  • Admin panel for question management.
  • Student dashboards for results and history.
  • Downloadable score reports and analytics.

Technologies: Django/Flask, Djangorestframework/Flask-RESTful, django-simple-history, PostgreSQL/SQLite, Celery, Redis, Chart.js, HTML, CSS, JavaScript (Bootstrap), WebRTC, jQuery

Job Portal Website

Enables job postings by recruiters and applications by job seekers.

  • Job postings and applications for seekers.
  • Search and filter jobs by category or location.
  • Resume uploads and application tracking.
  • Recruiter dashboards for managing listings.
  • Secure authentication for users.
  • Notifications for application updates.
  • Job analytics and listing dashboards.

Technologies: Django/Flask, Djangorestframework/Flask-RESTful, django-filter, django-allauth/Flask-Login, PostgreSQL/MySQL, Celery, Redis, Chart.js/Plotly, HTML, CSS, JavaScript (Bootstrap/Tailwind), jQuery

E-Learning Platform

Hosts courses, quizzes, and certifications for students.

  • Hosts courses, videos, and quizzes.
  • Role-based access for instructors and students.
  • Subscription and payment for premium content.
  • Auto-grading for quizzes and assessments.
  • Progress tracking and certification generation.
  • Supports video streaming and file uploads.
  • Course progress and quiz result dashboards.

Technologies: Django/Flask, Djangorestframework/Flask-RESTful, django-storages, Stripe/django-payments, PostgreSQL/MySQL, Celery, Redis, HTML, CSS, JavaScript (Bootstrap), PDFKit

Disclaimer: Razorpay payment gateway integration requires client-provided API key and secret.

Multi-Vendor Marketplace

Enables multiple vendors to manage their products and inventory.

  • Vendor panels for product and inventory management.
  • Customer browsing, cart, and checkout.
  • Tracks vendor commissions on sales.
  • Secure authentication and transactions.
  • Handles multiple vendors and orders.
  • separtae deashboard for each admin,vendor,user
  • Sales reports and vendor analytics dashboards.

Technologies: Django/Flask, Djangorestframework/Flask-RESTful, django-storages, Stripe/django-payments, PostgreSQL/MySQL, Celery, Redis, django-channels/Flask-SocketIO, HTML, CSS, JavaScript (Bootstrap/Tailwind), Chart.js

Disclaimer: Razorpay payment gateway integration requires client-provided API key and secret.

Blog + Forum Website

Allows users to create, edit, and publish blog posts and forum threads.

  • Create and edit blog posts and forum threads.
  • Rich-text editor for post formatting.
  • Likes, comments, and threaded replies.
  • Content organized by categories or tags.
  • Post analytics for views and likes.
  • Secure user login and moderation.
  • Blog and forum discussion dashboards.

Technologies: Django/Flask, Djangorestframework/Flask-RESTful, django-ckeditor/Flask-WTF, django-taggit, PostgreSQL/SQLite, Celery, Redis, Chart.js/Plotly, HTML, CSS, JavaScript (Bootstrap), jQuery

Hospital Management System

Manages appointments, prescriptions, and patient records.

  • Manages appointments and patient records.
  • Separate logins for doctors, patients, admins.
  • Schedules lab tests and tracks results.
  • Handles billing and payment processing.
  • Secure access with role-based permissions.
  • Notifications for appointment reminders.
  • Patient records and billing analytics dashboards.

Technologies: Django/Flask, Djangorestframework/Flask-RESTful, django-crispy-forms, Stripe/django-payments, PostgreSQL/MySQL, Celery, Redis, Chart.js, HTML, CSS, JavaScript (Bootstrap), jQuery

Disclaimer: Razorpay payment gateway integration requires client-provided API key and secret.

Freelance Services Marketplace

Allows freelancers to post services and clients to browse them.

  • Freelancers post services; clients browse.
  • Reviews, ratings, and messaging system.
  • Payment processing for transactions.
  • Dashboards for gig and earnings management.
  • Secure authentication and data protection.
  • Tracks order status and delivery.
  • Service listings and transaction analytics.

Technologies: Django/Flask, Djangorestframework/Flask-RESTful, django-storages, Stripe/django-payments, PostgreSQL/MySQL, django-channels/Flask-SocketIO, Chart.js, HTML, CSS, JavaScript (Bootstrap/Tailwind)

Disclaimer: Razorpay payment gateway integration requires client-provided API key and secret.

Expense Tracker with Data Visualization

Tracks income and expenses with budget planning features.

  • Tracks income, expenses, and budgets.
  • Categorizes transactions (e.g., food, travel).
  • Visualizes spending patterns with charts.
  • Secure login for personalized tracking.
  • Supports data import/export.
  • Generates monthly/yearly expense reports.
  • Interactive budget insights dashboard.

Technologies: Django/Flask, Djangorestframework/Flask-RESTful, django-crispy-forms/Flask-WTF, PostgreSQL/SQLite, Chart.js/Recharts, Pandas, Celery, Redis, HTML, CSS, JavaScript (Bootstrap), jQuery

Technologies We Use

HTML

CSS

JavaScript

React

Chart.js

SASS

Tailwind

Bootstrap

Streamlit

PHP

Python

Java

Node.js

Express.js

Next.js

Laravel

Flask

Django

Pandas

NumPy

WordPress

Shopify

Sqllite

MySQL

PostgreSQL

MongoDB

ML, DL, and AI Projects

Object Detection in Images and Real-Time Camera Feeds

Detects and classifies objects (e.g., cars, people, currency) in static images and camara

  • Detects objects like cars, people, or currency.
  • Uses deep learning for bounding box detection.
  • Processes camera feeds or static images.
  • Handles multiple object classes with high accuracy.
  • Applies to surveillance or automation.
  • Robust preprocessing for lighting and angles.
  • Outputs object locations and confidence scores.

Technologies: OpenCV, TensorFlow/Keras, PyTorch, YOLOv5/YOLOv8, NumPy, Matplotlib/Seaborn, Pillow, ONNX, Flask

Speech-to-Image Conversion System

Converts spoken descriptions (e.g., “a red car”) into generated images.

  • Converts spoken descriptions to images.
  • Uses speech recognition for audio-to-text.
  • Employs text-to-image generation models.
  • Integrates NLP for text parsing.
  • Suitable for creative or assistive tools.
  • Requires high-quality audio input.
  • Outputs images via GUI or file.

Technologies: SpeechRecognition, PyTorch/TensorFlow, Transformers, Librosa, Pillow, Tkinter/Flask, Stable Diffusion

Real-Time AI Chatbot

Provides interactive, real-time conversational responses to user queries.

  • Provides real-time conversational responses.
  • Uses NLP for human-like text generation.
  • Supports text
  • Scalable with API or local models.
  • Suitable for customer support or education.
  • Handles multi-turn conversation context.
  • Outputs via text, voice

Technologies: Transformers, NLTK/SpaCy, TensorFlow/PyTorch, Flask/FastAPI, SpeechRecognition/gTTS, Pandas, Streamlit

Image-Based Language Detection and Translation

Detects text in images (e.g., signs, documents) and identifies its language.

  • Detects text in images and identifies language.
  • Translates text to target languages.
  • Uses OCR for text extraction.
  • Supports multiple languages.
  • Applies to travel or document processing.
  • Handles varied fonts and image quality.
  • Outputs text, language, and translations.

Technologies: Tesseract, OpenCV, Transformers, googletrans/Deep Translator, Pillow, Flask/Tkinter, NumPy

Voice-Controlled Laptop System

Enables voice-based control of laptop functions (e.g., open apps, adjust settings).

  • Enables voice control of laptop functions.
  • Uses speech recognition for commands.
  • Integrates AI for natural language understanding.
  • Executes system commands like file operations.
  • Suitable for accessibility or automation.
  • Robust command mapping and error handling.
  • Outputs actions with voice feedback.

Technologies: SpeechRecognition, pyttsx3/gTTS, Transformers, pyautogui, os/sys, Flask/Tkinter, Pandas

Hate Speech Detection and Sentiment Analysis

Identifies hate speech and analyzes sentiment in text data (e.g., social media).

  • Identifies hate speech in text data.
  • Performs sentiment analysis (positive/negative).
  • Uses NLP for text preprocessing.
  • Suitable for content moderation.
  • Handles multilingual text.
  • Employs SVM or BERT models.
  • Outputs labels and sentiment scores.

Technologies: NLTK/SpaCy, Transformers, Scikit-learn, TextBlob/VADER, Pandas, Matplotlib/Seaborn, Flask/FastAPI

Android Malware Detection

Detects malicious Android apps based on features like permissions or code patterns.

  • Detects malware based on app features.
  • Classifies apps as malware or benign.
  • Extracts static or dynamic features.
  • Suitable for mobile security.
  • Handles large datasets for training.
  • Normalizes and encodes features.
  • Outputs classification with confidence scores.

Technologies: Scikit-learn, Pandas, NumPy, Androguard, TensorFlow/PyTorch, Matplotlib, Flask

Disease Prediction Based on Symptoms

Predicts diseases based on user-provided symptoms.

  • Predicts diseases using symptom data.
  • Maps symptoms to disease labels.
  • Handles categorical and missing data.
  • Suitable for healthcare apps.
  • Uses feature selection for accuracy.
  • Supports multi-class classification.
  • Outputs disease predictions with scores.

Technologies: Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn, Flask/Streamlit, Joblib, Scipy

Currency Detection

Identifies the country of origin (e.g., India, USA, UK) or denomination of currency notes.

  • Identifies currency origin (e.g., India, USA).
  • Uses image processing and ML for classification.
  • Processes static or real-time images.
  • Suitable for banking or assistive apps.
  • Handles lighting and angle variations.
  • Employs CNNs for high accuracy.
  • Outputs currency details with scores.

Technologies: OpenCV, TensorFlow/Keras, PyTorch, Pillow, Scikit-learn, NumPy, Matplotlib, Flask/Tkinter

Face Recognition-Based Attendance System

Automates attendance tracking using facial recognition.

  • Tracks attendance via face recognition.
  • Identifies individuals from images or cameras.
  • Uses deep learning for face matching.
  • Suitable for schools or offices.
  • Handles real-time face detection.
  • Stores attendance with timestamps.
  • Outputs logs via GUI or database.

Technologies: OpenCV, face_recognition, TensorFlow/PyTorch, Pandas, SQLite/MySQL, Flask/Tkinter, NumPy

Virtual Hand Tracking signs System

Tracks hand movements in real-time using camera input.

  • Tracks hand movements in real-time.
  • Uses ML for landmark and gesture detection.
  • Supports VR or gesture control apps.
  • Processes video frames for tracking.
  • Handles diverse hand sizes and lighting.
  • Employs MediaPipe or CNNs.
  • Outputs hand coordinates or gestures.

Technologies: MediaPipe, OpenCV, TensorFlow/PyTorch, NumPy, Matplotlib, Flask/Tkinter, Pygame

Virtual Painting System

Enables painting on a virtual canvas using hand gestures or mouse input.

  • Enables painting via hand gestures.
  • Uses ML for gesture recognition.
  • Processes real-time camera feeds.
  • Supports color and brush size selection.
  • Suitable for creative or educational apps.
  • Ensures smooth tracking for responsiveness.
  • Outputs painted images via GUI.

Technologies: MediaPipe, OpenCV, Pygame, NumPy, Pillow, TensorFlow/PyTorch, Tkinter

Fire Detection

Detects fire or smoke in images or real-time video feeds.

  • Detects fire/smoke in real-time.
  • Classifies fire-related features.
  • Processes camera feeds for monitoring.
  • Suitable for surveillance or safety.
  • Handles lighting and background variations.
  • Uses CNNs or traditional ML.
  • Outputs alerts or visualizations.

Technologies: OpenCV, TensorFlow/Keras, PyTorch, Scikit-learn, NumPy, Matplotlib, Flask/Tkinter, Pillow

Crop Yield Prediction

Predicts crop yield based on factors like weather, soil, and crop type.

  • Predicts yield based on weather, soil data.
  • Models relationships using ML.
  • Handles numerical and categorical data.
  • Suitable for agriculture optimization.
  • Uses feature engineering for accuracy.
  • Supports regression models.
  • Outputs yield predictions via GUI.

Technologies: Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn, Flask/Streamlit, Joblib, Scipy

Emotion Detection Using Facial Expressions

Detects emotions from facial expressions in images or videos.

  • Identifies emotions like happy, sad, angry.
  • Uses deep learning for facial feature analysis.
  • Processes real-time camera feeds or images.
  • Suitable for mental health or marketing apps.
  • Handles diverse lighting and angles.
  • Employs CNNs or pre-trained models.
  • Outputs emotion labels with confidence scores.

Technologies: OpenCV, TensorFlow/Keras, PyTorch, face_recognition, NumPy, Matplotlib, Flask/Tkinter