https://updategadh.com/
AI Study Timetable Generator project
Download the AI Study Timetable Generator project in Python and Django. Upload a syllabus PDF and get a day-wise plan with source code,
📅 AI STUDY TIMETABLE GENERATOR — Python & Django
Upload your syllabus PDF → get a full day-wise study plan with spaced repetition built in. One of the smarter final-year picks for 2026. Here's what's inside 👇
🎓 STUDENT MODULE
• Register/login with course & semester details
• Upload syllabus PDF — parsing starts instantly
• Auto-extracts subjects, units & topics into an editable tree
• Manually fix/merge/add topics if the parser misreads anything
• Set exam date & daily available study hours
• One-click day-wise timetable generation
• Spaced repetition revision slots (auto-scheduled)
• Daily task dashboard — mark done, postpone, mark difficult
• Streak tracker for consistency
• Progress analytics with Chart.js graphs
• Export timetable as PDF or CSV
🧠 INTELLIGENCE MODULE
• TF-IDF based difficulty scoring for each topic
• Adaptive rescheduling if you miss/postpone a session
• Subject weightage balancing (more units = more slots)
• Burnout protection — caps daily load, adds light days
🛠️ ADMIN MODULE
• Manage students, uploads & generated plans
• Parsing log viewer
• Usage reports (plans generated, completion rates)
⚙️ STACK
Python 3 · Django · MySQL · pdfplumber (PDF parsing) · scikit-learn & NLTK (scoring) · Bootstrap 5 · Chart.js
🎓 GOOD FOR
BCA, MCA, B.Tech CS/IT, M.Tech & Diploma students — combines real AI/NLP logic with full-stack Django dev, and it's an original topic that stands out from the usual management-system submissions.
📦 What you get: Source Code + Project Report + Synopsis + PPT + Database File + Installation Guide
🔗 Full write-up: https://updategadh.com/ai-study-timetable-generator-project/
💬 Would spaced repetition actually get you to stick to a study plan? 👇
#PythonProject #Django #AIProject #FinalYearProject #StudyPlanner
Upload your syllabus PDF → get a full day-wise study plan with spaced repetition built in. One of the smarter final-year picks for 2026. Here's what's inside 👇
🎓 STUDENT MODULE
• Register/login with course & semester details
• Upload syllabus PDF — parsing starts instantly
• Auto-extracts subjects, units & topics into an editable tree
• Manually fix/merge/add topics if the parser misreads anything
• Set exam date & daily available study hours
• One-click day-wise timetable generation
• Spaced repetition revision slots (auto-scheduled)
• Daily task dashboard — mark done, postpone, mark difficult
• Streak tracker for consistency
• Progress analytics with Chart.js graphs
• Export timetable as PDF or CSV
🧠 INTELLIGENCE MODULE
• TF-IDF based difficulty scoring for each topic
• Adaptive rescheduling if you miss/postpone a session
• Subject weightage balancing (more units = more slots)
• Burnout protection — caps daily load, adds light days
🛠️ ADMIN MODULE
• Manage students, uploads & generated plans
• Parsing log viewer
• Usage reports (plans generated, completion rates)
⚙️ STACK
Python 3 · Django · MySQL · pdfplumber (PDF parsing) · scikit-learn & NLTK (scoring) · Bootstrap 5 · Chart.js
🎓 GOOD FOR
BCA, MCA, B.Tech CS/IT, M.Tech & Diploma students — combines real AI/NLP logic with full-stack Django dev, and it's an original topic that stands out from the usual management-system submissions.
📦 What you get: Source Code + Project Report + Synopsis + PPT + Database File + Installation Guide
🔗 Full write-up: https://updategadh.com/ai-study-timetable-generator-project/
💬 Would spaced repetition actually get you to stick to a study plan? 👇
#PythonProject #Django #AIProject #FinalYearProject #StudyPlanner
https://updategadh.com/
Learning Management System With Django Framework Project
Building a Learning Management System With Django is one of the smartest choices for a final year submission, because it touches almost every
🎓 LEARNING MANAGEMENT SYSTEM — Built with Django
A complete LMS with 4 user roles, live analytics, self-marking quizzes, GPA/CGPA calculation & real Razorpay payments — genuinely covers the full syllabus in one build. Here's what's inside 👇
🛠️ ADMIN MODULE
• Role-based access across 4 user types
• Real-time analytics dashboard (enrolment trends, grade distribution)
• Auto-generated login credentials emailed to new users
• Password management for any user
• One-click session/semester control
👨🏫 LECTURER MODULE
• Upload notes, slides & lecture videos
• Build quizzes — MCQs & essay, with pass marks & randomised order
• Enter marks (assignment, mid-exam, quiz, attendance, final) in one grid
• Export printable result sheets as PDF
🎓 STUDENT MODULE
• Register/drop courses within their programme & semester
• Take self-marking quizzes with instant feedback
• View grades, semester GPA & cumulative CGPA
• Pay fees online (card/UPI/netbanking) & download receipt
🌍 SYSTEM-WIDE
• Multilingual UI (English, French, Spanish, Russian)
• Light/dark theme
• Global search across courses, programmes & quizzes
• Full activity logging
⚙️ STACK
Python 3.13 · Django 4.2 · Bootstrap 5 · Chart.js · SQLite/PostgreSQL/MySQL · Razorpay SDK · Django REST Framework
📦 What you get: Full Source Code + Project Report + Synopsis + PPT + Sample Database
🔗 Full write-up: https://updategadh.com/learning-management-system-with-django/
🛒 Get the project: https://store.updategadh.com/product/learning-management-system-with-django/
💬 Which module would you want to build first — the quiz engine or the payment flow? 👇
#PythonProject #Django #LMS #FinalYearProject #WebDevelopment
A complete LMS with 4 user roles, live analytics, self-marking quizzes, GPA/CGPA calculation & real Razorpay payments — genuinely covers the full syllabus in one build. Here's what's inside 👇
🛠️ ADMIN MODULE
• Role-based access across 4 user types
• Real-time analytics dashboard (enrolment trends, grade distribution)
• Auto-generated login credentials emailed to new users
• Password management for any user
• One-click session/semester control
👨🏫 LECTURER MODULE
• Upload notes, slides & lecture videos
• Build quizzes — MCQs & essay, with pass marks & randomised order
• Enter marks (assignment, mid-exam, quiz, attendance, final) in one grid
• Export printable result sheets as PDF
🎓 STUDENT MODULE
• Register/drop courses within their programme & semester
• Take self-marking quizzes with instant feedback
• View grades, semester GPA & cumulative CGPA
• Pay fees online (card/UPI/netbanking) & download receipt
🌍 SYSTEM-WIDE
• Multilingual UI (English, French, Spanish, Russian)
• Light/dark theme
• Global search across courses, programmes & quizzes
• Full activity logging
⚙️ STACK
Python 3.13 · Django 4.2 · Bootstrap 5 · Chart.js · SQLite/PostgreSQL/MySQL · Razorpay SDK · Django REST Framework
📦 What you get: Full Source Code + Project Report + Synopsis + PPT + Sample Database
🔗 Full write-up: https://updategadh.com/learning-management-system-with-django/
🛒 Get the project: https://store.updategadh.com/product/learning-management-system-with-django/
💬 Which module would you want to build first — the quiz engine or the payment flow? 👇
#PythonProject #Django #LMS #FinalYearProject #WebDevelopment
https://updategadh.com/
Agentic RAG AI System Using Python: Complete Project
Agentic RAG AI System Using Python ÔÇö full source code, RAG architecture & LangChain integration. Best final-year AI project for B.Tech & MCA students.
🤖 AGENTIC RAG AI SYSTEM — Built with Python
Not your typical chatbot — this one uses AI agents + RAG + vector databases to actually reason before answering. Here's what's inside 👇
✨ KEY FEATURES
• Intelligent query analysis — understands intent before retrieving anything
• Dynamic retrieval strategy based on the query
• Semantic search across your data
• Vector database support for similarity search
• Multi-step reasoning before generating a response
• Context-aware answers + conversational memory
• External API/tool integration
• Full AI agent workflow (analyze → retrieve → reason → respond)
⚙️ STACK
Python · Streamlit (chatbot UI) · Flask/FastAPI · LangChain · LlamaIndex · CrewAI · Agno · ChromaDB · Pinecone · FAISS · Qdrant
🧠 HOW IT WORKS
User submits a query → AI agent analyzes intent & picks a retrieval strategy → relevant docs pulled from the knowledge base/vector DB → AI reasons over that info → final contextual response generated via LLM.
🌍 REAL-WORLD USES
University AI assistants · Healthcare document retrieval · Customer support · Legal research · Coding assistants
🎓 GOOD FOR
B.Tech, MCA, BCA, MSc IT & AI/ML research students who want serious exposure to modern GenAI architecture — RAG pipelines, agent orchestration & vector embeddings — way beyond a basic chatbot project.
📦 What you get: Full Source Code + Database File + Project Report + PPT
🔗 Full write-up: https://updategadh.com/agentic-rag-ai-system-using-python/
🛒 Get the project: https://store.updategadh.com/product/agentic-rag-ai-system-using-python/
💬 Which vector DB would you pick — ChromaDB, Pinecone, or FAISS? 👇
#PythonProject #AIAgents #RAG #GenerativeAI #FinalYearProject
Not your typical chatbot — this one uses AI agents + RAG + vector databases to actually reason before answering. Here's what's inside 👇
✨ KEY FEATURES
• Intelligent query analysis — understands intent before retrieving anything
• Dynamic retrieval strategy based on the query
• Semantic search across your data
• Vector database support for similarity search
• Multi-step reasoning before generating a response
• Context-aware answers + conversational memory
• External API/tool integration
• Full AI agent workflow (analyze → retrieve → reason → respond)
⚙️ STACK
Python · Streamlit (chatbot UI) · Flask/FastAPI · LangChain · LlamaIndex · CrewAI · Agno · ChromaDB · Pinecone · FAISS · Qdrant
🧠 HOW IT WORKS
User submits a query → AI agent analyzes intent & picks a retrieval strategy → relevant docs pulled from the knowledge base/vector DB → AI reasons over that info → final contextual response generated via LLM.
🌍 REAL-WORLD USES
University AI assistants · Healthcare document retrieval · Customer support · Legal research · Coding assistants
🎓 GOOD FOR
B.Tech, MCA, BCA, MSc IT & AI/ML research students who want serious exposure to modern GenAI architecture — RAG pipelines, agent orchestration & vector embeddings — way beyond a basic chatbot project.
📦 What you get: Full Source Code + Database File + Project Report + PPT
🔗 Full write-up: https://updategadh.com/agentic-rag-ai-system-using-python/
🛒 Get the project: https://store.updategadh.com/product/agentic-rag-ai-system-using-python/
💬 Which vector DB would you pick — ChromaDB, Pinecone, or FAISS? 👇
#PythonProject #AIAgents #RAG #GenerativeAI #FinalYearProject
UpdateGadh Store
Hospital Management System Python Django | Source Code
Get Hospital Management System using Python and Django with Admin, Doctor and Patient modules for appointments, patient records and billing.
🏥 HOSPITAL MANAGEMENT SYSTEM — Python & Django
A full-stack healthcare app with 3 separate roles — Admin, Doctor & Patient — managing everything from appointments to billing. Here's what's inside 👇
🛠️ ADMIN MODULE
• Approve/reject doctor applications
• Manage patient admissions & discharge
• Assign doctors to patients
• Handle appointments
• Generate & download PDF invoices
👨⚕️ DOCTOR MODULE
• Apply for jobs (activated after admin approval)
• View assigned patients + symptoms & contact info
• Access discharged patient records
• Manage appointments
🧑💼 PATIENT MODULE
• Create account (activated after admin approval)
• View assigned doctor's details
• Book appointments & check status
• View/download PDF invoice after discharge
⚙️ STACK
Python · Django (MVT architecture) · HTML/CSS · SQLite3 · xhtml2pdf for invoices
🎓 GOOD FOR
BCA, MCA, B.Tech CS/IT students & Django learners who want real experience with role-based access control, CRUD ops, migrations & PDF generation in one healthcare project.
📦 What you get: Source Code + Database + Project Report + PPT + Setup Guide
🛒 Get the project: https://store.updategadh.com/product/hospital-management-system-python/
🔗 Full write-up: https://updategadh.com/hospital-management-system-python/
💬 Admin, Doctor, or Patient side — which module looks most interesting to build? 👇
#PythonProject #Django #HospitalManagementSystem #FinalYearProject #WebDevelopment
A full-stack healthcare app with 3 separate roles — Admin, Doctor & Patient — managing everything from appointments to billing. Here's what's inside 👇
🛠️ ADMIN MODULE
• Approve/reject doctor applications
• Manage patient admissions & discharge
• Assign doctors to patients
• Handle appointments
• Generate & download PDF invoices
👨⚕️ DOCTOR MODULE
• Apply for jobs (activated after admin approval)
• View assigned patients + symptoms & contact info
• Access discharged patient records
• Manage appointments
🧑💼 PATIENT MODULE
• Create account (activated after admin approval)
• View assigned doctor's details
• Book appointments & check status
• View/download PDF invoice after discharge
⚙️ STACK
Python · Django (MVT architecture) · HTML/CSS · SQLite3 · xhtml2pdf for invoices
🎓 GOOD FOR
BCA, MCA, B.Tech CS/IT students & Django learners who want real experience with role-based access control, CRUD ops, migrations & PDF generation in one healthcare project.
📦 What you get: Source Code + Database + Project Report + PPT + Setup Guide
🛒 Get the project: https://store.updategadh.com/product/hospital-management-system-python/
🔗 Full write-up: https://updategadh.com/hospital-management-system-python/
💬 Admin, Doctor, or Patient side — which module looks most interesting to build? 👇
#PythonProject #Django #HospitalManagementSystem #FinalYearProject #WebDevelopment
❤1
https://updategadh.com/
Loan Approval Prediction System Using Python and Machine Learning
Loan Approval Prediction System is a machine learning-based web application developed using Python, Flask, and Scikit-learn. The system takes
💰 LOAN APPROVAL PREDICTION SYSTEM — Python & Machine Learning
A Flask web app that predicts whether a loan application gets Approved or Rejected — with 6 ML models compared and the best one auto-selected. Here's what's inside 👇
✨ KEY FEATURES
• Predicts loan approval using applicant income, credit history, education, dependents, loan amount/term & property area
• Compares 6 classification algorithms & auto-selects the best by F1-score
• Full preprocessing pipeline — missing value handling, one-hot encoding, standard scaling
• Prediction confidence score shown with each result
• SQLite-based prediction history with filtering & pagination
• Admin dashboard with charts (approval rate, property-area breakdown, model performance)
• Responsive Bootstrap 5 interface
🤖 MODELS COMPARED
Logistic Regression · Decision Tree · Random Forest · K-Nearest Neighbors · Support Vector Machine · Gradient Boosting
🏆 Best performer in testing: SVM, with an 81.48% F1-score
⚙️ STACK
Python 3 · Flask · Scikit-learn · Pandas · NumPy · SQLite · Bootstrap 5 · Chart.js · Matplotlib/Seaborn
🎓 GOOD FOR
BCA, MCA, B.Tech CS/IT & ML/Data Science students who want a genuine end-to-end ML project — training pipeline, model comparison, live prediction & a working dashboard, not just a notebook.
📦 What you get: Full Source Code + Project Report + Synopsis + PPT
🔗 Full write-up: https://updategadh.com/loan-approval-prediction-system/
💬 Which model would you have picked — SVM or Random Forest? 👇
#PythonProject #MachineLearning #Flask #FinalYearProject #DataScience
A Flask web app that predicts whether a loan application gets Approved or Rejected — with 6 ML models compared and the best one auto-selected. Here's what's inside 👇
✨ KEY FEATURES
• Predicts loan approval using applicant income, credit history, education, dependents, loan amount/term & property area
• Compares 6 classification algorithms & auto-selects the best by F1-score
• Full preprocessing pipeline — missing value handling, one-hot encoding, standard scaling
• Prediction confidence score shown with each result
• SQLite-based prediction history with filtering & pagination
• Admin dashboard with charts (approval rate, property-area breakdown, model performance)
• Responsive Bootstrap 5 interface
🤖 MODELS COMPARED
Logistic Regression · Decision Tree · Random Forest · K-Nearest Neighbors · Support Vector Machine · Gradient Boosting
🏆 Best performer in testing: SVM, with an 81.48% F1-score
⚙️ STACK
Python 3 · Flask · Scikit-learn · Pandas · NumPy · SQLite · Bootstrap 5 · Chart.js · Matplotlib/Seaborn
🎓 GOOD FOR
BCA, MCA, B.Tech CS/IT & ML/Data Science students who want a genuine end-to-end ML project — training pipeline, model comparison, live prediction & a working dashboard, not just a notebook.
📦 What you get: Full Source Code + Project Report + Synopsis + PPT
🔗 Full write-up: https://updategadh.com/loan-approval-prediction-system/
💬 Which model would you have picked — SVM or Random Forest? 👇
#PythonProject #MachineLearning #Flask #FinalYearProject #DataScience