VISION
To provide employable CSE-AIML engineer for Society and Industry needs.
MISSION
M1: Empower students with strong basic foundation.
M2: Develop technical and non technical Skills for lifelong learning.
M3: To promote student’s interest in higher studies, research and entrepreneurship to meet global challenges.
PROGRAM SPECIFIC OUTCOMES (PSO)
PSO1: The student will be able to apply, analyze, and design applications by adopting the dynamic nature of software developments.
PSO2:The students will be able develop their skills to solve socially relevant problems using different projects in inter-disciplinary field.
PROGRAM EDUCATIONAL OBJECTIVES (PEO)
PEO-1: Graduates will be prepared for analyzing, designing, and developing software with creativity.
PEO-2: Graduates will be skilled in the use of modern tools for problem solving and analyzing industrial and societal requirements.

“The highest education is that which does not merely give us information but makes our life in harmony with all its existence.- Ravidranath Tagore.”
It gives me an immense pleasure to lead the department of CSE –AIML. The motto of our department is to provide quality technical educations to students, which will lead them, sustain peaks in the field of technology. Department of CSE-Artificial Intelligence and Machine learning has labs equipped with high configuration machines and latest software’s required for teaching/learning process.
The department is committed to contribute in the overall growth of the students. , while academic excellence remains to be our strong fort. The spectrum of social, cultural, co-curricular and extra-curricular events at CSE-AIML is as intellectually stimulating, as is overwhelming! We do not turn you into book-worms or scholarly puppets but into competent professionals and genuine humans.
We have Researcher of AIML and IoT (RAIOT) club for nurturing leadership qualities and empower themselves with the Wings of Knowledge and Power of Innovation. We arranged Industrial Visit every semester students can interact with expert professional and understand the Industry needs. We encourage Technical Internship to narrow the gap between industry and curriculum. Most jobs require professional need to communicate effectively in writing whether through email, formal letters, notes, text messages or online messaging. Therefore Department started magazine “Human Amelioration”. It’s proud to say that we are able to publish two volumes due to huge response of the students in the first year itself. In which 30 % contents are non technical and 70 % technical content.
Even we emphasis on different social and cultural activities to enhance positive attitude, proactive thinking and being concern about humanity.
You come here with a passion; we convert that passion into your profession. So my dear young friends, I wish you a very happy and highly rewarding student life in CSE-AIML. My dear faculty and staff members, we together have to play our role in Nation building by contributing whole heartedly towards academics, research and innovation, a gigantic task.
Career Opportunities in Artificial Intelligence
- AI Data Analyst
- Product Manager
- AI Engineer
- Robotics Scientist
- Big Data Engineer
- Business Intelligence Developer
- Machine Learning Engineer
- Research ScientistThe top 10 companies make use of AI and are recruiting for the same –
- Amazon
- Apple
- DJI
- Anki
- Clarifai
- Deepmind
- Casetext
- DataVisor
PhD, M.E.
ME, BE Computer Engg
Ph.D. (Electronics Engg.)
M.E. (Electronics & Telecommunication Engg.)
B.Tech (Electronics Engg.)
SECOND YEAR ENGINEERING
| Sr. No. | SEM III | SEM IV |
|---|---|---|
| 1 | Engineering Mathematics – III | Engineering Mathematics – IV |
| 2 | Discrete Structure and Graph Theory | Analysis of Algorithm |
| 3 | Data Structure | Database Management System |
| 4 | Digital Logic and Computer Architecture | Operating System |
| 5 | Computer Graphics | Microprocessor |
| 6 | Mini Project 1A | Mini Project 1B |
THIRD YEAR ENGINEERING
| Sr. No. | SEM V | SEM VI |
|---|---|---|
| 1 | Computer Network | Data Analytics and Visualization |
| 2 | Web Computing | Cryptography and System Security |
| 3 | Artificial Intelligence | Software Engineering and Project Management |
| 4 | Data Warehousing & Mining | Machine Learning |
| 5 | CSDLO5011 : Statistics for Artificial Intelligence & Data Science CSDLO5012: Advanced Algorithms CSDLO5013: Internet of Things |
CSDLO6011 :High Performance Computing CSDLO6012: Distributed Computing CSDLO6013: Image & Video processing |
| 6 | Mini Project 2A | Mini Project 2B |
FOURTH YEAR ENGINEERING
| Sr.No. | SEM VII | SEM VIII |
|---|---|---|
| 1 | Deep Leaning | Advanced Artificial Intelligence |
| 2 | Big Data Analytics | Department Level Optional Course-5 |
| 3 | Department Level Optional Course-3 | Reinforcement Learning |
| 4 | Natural Language Processing | Department Optional Course -6 |
| 5 | AI for Healthcare | Social Media Analytic |
| 6 | Department Optional Course -4 | Institute level Optional Courses-I |
| 7 | User Experience Design with VR | Digital Business Management |
| 8 | Institute level Optional Courses-I | Environmental Management |
| 9 | Cyber Security and Laws | Department Optional Lab -5 |
| 10 | Disaster Management & Mitigation Measures | Reinforcement Learning Lab |
| 11 | Deep Leaning Lab | Department Optional Lab -6 |
| 12 | Big Data Analytics Lab | Social Media Analytic Lab |
| 13 | Department Optional Lab -3 | Advanced Artificial Intelligence Lab |
| 14 | Natural Language Processing Lab | |
| 15 | AI for Healthcare Lab | |
| 16 | Department Optional Lab -4 | |
| 17 | User Experience Design with VR Lab | |
| 18 | Major Project-I | Major project-II |
AY: 2025-26
| Group No. | Student Names | Three Topics | Selected Topic | Category of the project Society/RD/Application based etc | Guide Name | Sign |
|---|---|---|---|---|---|---|
|
TEAIML 1
|
LOHAR LOKESH | 1) AI Course Generator |
AI Course Generator
|
Application based
|
Prof. S. N. Deshpande
|
|
| NAIK HARSH PANDHARINATH | 2) Automation Virtual Drone | |||||
| MARGI JAYESH SHRIRANG | 3) Ai Code Completion | |||||
| ADITYA BHIWADE | ||||||
|
TEAIML 2
|
MAURYA TANISHA | 1) Smart Ass. Categorizer for mumtain |
RoboNex-AI Powerd pick & place Robot.
|
Application based
|
Prof. Manisha Hatkar
|
|
| SAWLE SAKSHI | 2) RoboNex-Ai Powerd pick & place Robot. | |||||
| SAKSHI GORAVE | 3) Insurance Claim Insurance | |||||
|
TEAIML 3
|
NAGPURE CHAITANYA | 1) PY PackIt |
Bi-Directional Blockchain Approach for KYC verification
|
Application based
|
Prof. V.P.Patil
|
|
| PATIL AMRUTA | 2) Bi-Directional Blockchain Approach to optimize KYC ven | |||||
| MEHTRE SHIVANI | 3) At based careera guidance | |||||
| DEY SUMIT | ||||||
|
TEAIML 4
|
GAIKAR PRATIK | 1) Smart Kisan- An AI Waist for Smart Farming |
AI-based cyclone prediction moni. Sys
|
Application based
|
Prof. V.P.Patil
|
|
| SHIRKE RUCHI | 2) Ai-based cyclone prediction moni. Sys | |||||
| PATIL SANIKA | 3) Voice cloning & Deefake Dele | |||||
| KADAM MANDAR | ||||||
|
TEAIML 5
|
SMART DHAVAL | 1) Conscology Intelligevee Sys. |
Aether -Real time space wheather monitoring platform
|
Application based
|
Prof. S. N. Deshpande
|
|
| WAGHMARE GAURAV | 2) Ather | |||||
| AROLKAR ADITYA | 3) Retroweb | |||||
| ATALE PRATHAM | 4) 2D image to 3D model | |||||
|
TEAIML 6
|
DUBEY NEHA | 1) LLM Comparison & Bench Marking |
TransitIQ: Intelligent Bus Tracking and Management
|
Application based
|
Prof. Manisha Hatkar
|
|
| SHINDE SHUBHAM | 2) Fault Detection in Batminton | |||||
| ARYA S. MORE | 3) Classification of Radio GMRT | |||||
| GORAVE SAKSHI BHASKAR | ||||||
|
TEAIML 7
|
SHARMA VITHIKA | 1) Saharabot-Elderly Care Management |
Sahara Bot-Elderly Care Management
|
Application based
|
Dr Sunil Chavan
|
|
| SHARMA PRIYANKA | 2) Finance Traker Kubera | |||||
| SHETTY PRERNA | 3) Travel Assiatant | |||||
| WAGH SNEHA | ||||||
|
TEAIML 8
|
NIKAM PRANAV | 1) Sign Language Detection |
Zero Key with an Application
|
Application based
|
Prof. Sanjay Patil
|
|
| KOLI KHUSHAL | 2) Metal health chatbot | |||||
| RAJESHIRKE SHIVAM | 3) Fake Detection | |||||
| DANISH KHAN | ||||||
|
TEAIML 9
|
KHAIRE VIKRANT | 1) IPL score pradication |
AI powered No-Code Web Data Scrapping Tool
|
Application based
|
Prof. Manisha Hatkar
|
|
| PATIL NILESH | 2) News Summorization Not | |||||
| CHAUDHARI OM | 3) Churn prediction Bank | |||||
| CHOUDHARI BHAVESH | ||||||
|
TEAIML 10
|
MORE PRATHMESH | 1) Medisync -360 |
Medisync -360 Centalized Healthcare platform
|
Application based
|
Prof. T M Bansod
|
|
| GHUGE RAJENDRA | 2) Ai website builder | |||||
| SHETYE MANAS SHAILENDRA | 3) Fake Video Detection | |||||
| SHARMA LAKISH | ||||||
|
TEAIML 11
|
LONDHE OMKAR | 1) Saas Website Building |
A multi vendor SaaS website and Funnel builder with Role based CRM
|
Application based
|
Prof. Sarita Khedikar
|
|
| VARANDE AJAY | 2) Ai Interview | |||||
| WAGHMARE HARSHAD | 3) Plank Disease Detection | |||||
| RATHOD ROHIT | ||||||
|
TEAIML12
|
NAYAK KARTIK | Self -Ai Coding Assistant |
Self hosted -AI Coding Assistant for Secure, Real time code generation
|
Application based
|
Prof. Sarita Khedikar
|
|
| VAIDYA HEMANT | A multi Vender Saas Builder | |||||
| SHINDE PRATIK | Web Susapping | |||||
|
TEAIML 13
|
KORDE PRATIK JAYARAM | Ayurvedic Plant Chatbot |
Ayurvedic Plant Chatbot
|
Application based
|
Prof. Sarita Khedikar
|
|
| KADAM PRITHVIRAJ | ||||||
| BHOSALE ANILRAJ | ||||||
| BAGAYATKAR KARAN | ||||||
|
TEAIML 14
|
GHOSH MADHUMITA | 1) Vocasignt |
Vocasignt
|
Application based
|
Prof. T M Bansod
|
|
| PATIL HARSHNA | 2) Ai agent for ayurvedic plants | |||||
| ASODEKAR SAKSHI PRAKASH | 3) Nuthiles | |||||
|
TEAIML 15
|
JADHAV VAIDEHI | 1) Muti Agent Voice RAG |
Comparative Study of resperatory diseases
|
Application based
|
Prof. V.P.Patil
|
|
| RATHOD SNEHA | 2) Crime Cast | |||||
| CHAVAN SHRAVANI GANESH | 3) AI Legal Advisor using Deep seak AI & RAG | |||||
|
TEAIML 16
|
SHELAR TEJAS | 1) Multimodel Scam Detection |
Multimodel Scam Detection Application
|
Application based
|
Prof. T M Bansod
|
|
| SASURGAON PRAVEEN | 2) Community Resolver | |||||
| PATIL ROHAN | 3) Platform | |||||
| PRABHU KAUSTUBH | ||||||
|
TEAIML 16
|
Rishikesh Patil |
Real time Code Editor
|
Application based
|
Prof. S. N. Deshpande
|
||
| Sarvesh Khedekar | ||||||
| Aamogh Mysala | ||||||
| Aahan Ghodke |
| Date of Event | Name of Event | Link |
|---|---|---|
| 19/09/2024 | Django Workshop | Click Here |
| 18/09/2024 | Robotics Workshop | Click Here |
| 18/09/2024 | AI WALL | Click Here |
| 18/09/2024 to 23/09/2025 | Google Clould Generative AI | Click Here |
| 01/04/2025 | Health_Awarness | Click Here |
| 20/09/2024 to 23/09/2025 | Expert Lecture on Deep Learning | Click Here |
| 20/01/2025 | Industrial visit | Click Here |
| 16 October, 2023 | Data Science & Machine Learning with TensorFlow | Click Here |
| 12 October, 2023 | Expert Lecture cum Workshop Report | Click Here |
| 11 September, 2023 | Kirti College Seminar | Click Here |
| 6 September, 2023 | ZP School Web Development Bootcamp | Click Here |
| 5 September, 2023 | Kirti College Seminar | Click Here |
| 7 August to 14 August, 2023 | 8-Days Internship Program | Click Here |
| 18 July, 2023 – 31 July, 2023 | MERN Stack Web Development Bootcamp | Click Here |
| 3 July, 2023 – 9 July, 2023 | MERN Stack Web Development Bootcamp | Click Here |
| July 2023 | Newsletter of AI ML & IoT Dept. | Click Here |
| 17/06/2023 to 18/06/2023 | Astra Tourney – BGMI tournament | Click Here |
| 26/05/2023 to 15/06/2023 | 21 Days Tech Tour | Click Here |
| 10 March, 2023 | Front-end Competition | Click Here |
| 10 March, 2023 | Magazine Reveal Ceremony | Click Here |
| 10/03/2023 | Ideathon 2023 | Click Here |
| 27/01/2023 | Competitive Programming Session | Click Here |
| 19/01/2023 | Ad Astra_s Inauguration | Click Here |
| 19/01/2023 | Mandala Art Competition | Click Here |
RAIOT CLUB
- RAIOT i.e. Researchers of AI & IOT. RAIOT is a tech club which gives you the opportunity to learn, grow and master skills to make your career journey glorious.
- Our club is basically a community of like minded people and tech lovers. It is a platform for all of us to develop , to be creative, and learn new & rapidly rising crazy technologies. Due to the pandemic, most of us missed opportunities to learn new skills. RAIOT club is a platform for everyone to develop their skills from scratch as a beginner.








Department Day
The objective of the event was to provide opportunities to different talents and thereby perform cultural activities among the students of AIML & IoT Department.
The students of AIML & IoT Department conducted the event after preparing for the whole week. The event encompassed various activities like dance, games, singing, DJ, food, etc.
Students enjoyed the fest, showcased their talents, organizers gained management experience, participation and interaction among students increased exponentially.



Social Activity
TThe purpose of the visit was to spread knowledge about cutting edge technologies of Artificial intelligence & Machine Learning and Internet of Things among 9th & 10th standard students of ZP School.
We did so by making an attractive presentation by presenting some videos and explaining them more efficiently for them to grasp the information easily.
We also told them some real-life examples so they could understand the need for cutting-edge technologies. The session turned out to be interactive with the students actively voicing out their career goals and asking their queries on gained information



Industrial Visit
- Industry expert Interaction with students
- Students are able to learn how embedded systems work, how AI & IOT gives birth to a beautiful concept like embedded systems which help us to make ours and others’ lives easier.




Name of the Lab: L1: AI & Data Analytics Lab
Lab In-charge: Prof. Jyoti Yadav
Lab Assistant: Mrs. Shubhangi More
Details of Resources & Equipment: Lab consists of all essential equipment like Desktop PC, Printer, Switch, Router, Web Camera, and Headphones.

Name of the Lab: L2: Network & Cyber Security Lab
Lab In-charge: Prof. Vandana Behera
Lab Assistant: Mr. Hansraj Shrimangle
Details of Resources & Equipment: Lab consists of all essential equipment like Desktop PC, Printer, Switch, Router, Web Camera, and Headphones

Name of the Lab: L3: Software & Project Management Lab
Lab In-charge: Prof. Manisha Hatkar
Lab Assistant: Mr. Hansraj Shrimangle
Details of Resources & Equipment: Lab consists of all essential equipment like Desktop PC, Printer, Switch, Router, Web Camera, and Headphones.

Name of the Lab: L4: Cloud Computing Lab
Lab In-charge: Prof. Vandana Nikam
Lab Assistant: Mrs. Shubhangi More
Details of Resources & Equipment: Lab consists of all essential equipment like Desktop PC, Printer, Switch, Router, Web Camera, and Headphones.

Name of the Lab: L5: NLP Lab
Lab In-charge: Prof. Vijila Gnanaraj
Lab Assistant: Mr. Hansraj Shrimangle
Details of Resources & Equipment: Lab consists of all essential equipment like Desktop PC, Printer, Switch, Router, Web Camera, and Headphones.

| Date | Notice Descritpion | Link |
|---|---|---|
| 12/03/2025 | Sem III Topper List | Click Here |
| 10/03/2025 | Campus Placement Notice | Click Here |
| 10/03/2025 | Pool Campus Placement Notice- Galaxy office Automation Pvt. Ltd. | Click Here |
| 10/03/2025 | Pool Campus Placement Notice- MNC Nimap Infotech | Click Here |
| 04/03/2025 | Parent Teacher Interaction Meeting | Click Here |
| 31/01/2025 | Seminar on Your path to Civil Service | Click Here |
| 07/01/2025 | Mock test on GRE/IELTS | Click Here |
| 03/01/2025 | Campus recruitment training program | Click Here |
| 16/09/2024 | Value Added Program | Click Here |
| List of google classrooms for Theory and Prctical Coursess SE/TE/BE 25-26(Odd Sem) | |||||
| Sr.No | Sem | Internal Examiner Name | Subject Code | Subject Name | Google Classroom Link |
|---|---|---|---|---|---|
| 1 |
III
|
Prof.K.B Patil | 2163111 | Mathematics for Computer Engineering | https://classroom.google.com/u/1/c/NzgzMTUzMjI0MDcy |
| 2 | Prof.Vijila Gangraj | 2163112 | Discrete Structures and Graph Theory | https://classroom.google.com/c/Nzg4Nzc1NTU5NDMw?cjc=ls3lov5d | |
| 3 | Prof.Sarita Khedikar | 2163113 | Analysis of Algorithm | https://classroom.google.com/c/NzgzMDUyOTQ3MTM3 | |
| 4 | Prof.Sarita Khedikar | 2163115 | Analysis of Algorithm Lab | https://classroom.google.com/c/Nzg5MDQ3NDY1MzY1 | |
| 5 | Prof.Manisha Hatkar | 2163114 | Computer organization & Architecture | https://classroom.google.com/c/NzgyNjI1MDA4NDM0 | |
| 6 | Prof.Manisha Hatkar | 2163116 | Computer organization & Architecture Lab | https://classroom.google.com/c/NzgyNjI1MDA4NDM0 | |
| 7 | Prof.Sumit Sharma | 2163311 | Open Elective (Disaster Management) | https://classroom.google.com/c/NzkwMjkyNzIyNTk2?cjc=yofiabbl | |
| 8 | Dr. Sanjay Patil | 2993511 | Entrepreneurship Development | https://classroom.google.com/c/NzkwMjU1OTE4MjQ0?cjc=5rlpfe3d | |
| 9 | Prof. Ramesh Kambale | 2993512 | Environmental Science for Engineers | ||
| 10 |
V
|
Prof. Tularam Bansod | CSC501 | Computer Network | https://classroom.google.com/c/NzgzMDUyODgyNDMz |
| 11 | Prof. Tularam Bansod | CSL501 | Web Computing and Network Lab | https://classroom.google.com/c/NzgzMDUyODgyNDMz | |
| 12 | Prof.Vandana Nikam | CSC502 | Web Compiting | https://classroom.google.com/c/Nzg4OTc2MzIyNDE5 | |
| 13 | Prof.Sonali Deshpande | CSC503 | Artificial Inteligence (TH) | https://classroom.google.com/c/Nzg4MjU1ODA0ODgz?cjc=mmymw37r | |
| 14 | Prof.Sonali Deshpande | CSL502 | Artificial Intelligence Lab | https://classroom.google.com/c/Nzg4MjU1ODA0ODgz?cjc=mmymw37r | |
| 15 | Prof.Vandana Behara | CSC504 | Data Warehousing and Mining | https://classroom.google.com/c/NzgzMDIxMjEwOTYz?cjc=45okboet | |
| 16 | Prof.Vandana Behara | CSL503 | Data Warehousing and Mining Lab | https://classroom.google.com/c/NzgzMDIxMjEwOTYz?cjc=45okboet | |
| 17 | Dr. Sanjay Patil | CSCDLO5011 | Department Optional Course -1(Statistics for Artificial Intelligence & Data Science ) | https://classroom.google.com/c/NzczNjkxMzUzNjYw?cjc=fxnvgddj | |
| 18 | Prof.Indrani Baporikar | CSCDLO5013 | Department Optional Course -1( Internet of Things) | https://classroom.google.com/c/NzkwOTQyMTgyNDk1?cjc=r33datcj | |
| 19 | CSL504 | Business Communication and Ethics-II | |||
| 20 | Prof.Vijila Gnanaraj | CSM501 | Mini Project: 2 A | https://classroom.google.com/c/Nzk0MzIyMDU1NzMw?cjc=nr3am6l2 | |
| 21 |
VII
|
Prof.Vijila Gnanaraj | CSC701 | Deep Leaning | https://classroom.google.com/c/Nzg4Nzc1NDg2Mjkw?cjc=sh4vzppy |
| 22 | Prof.Vijila Gnanaraj | CSL701 | Deep Leaning Lab | https://classroom.google.com/c/Nzg4Nzc1NDg2Mjkw?cjc=sh4vzppy | |
| 23 | Prof.Manisha Hatkar | CSC702 | Big Data Analytics | https://classroom.google.com/c/NzgyNjI0OTAwMTAz | |
| 24 | Prof.Manisha Hatkar | CSL702 | Big Data Analytics Lab | https://classroom.google.com/c/NzgyNjI0OTAwMTAz | |
| 25 | Dr. V.P Patil | CSDO 701X | Department Level Optional Course-3(AI for Healthcare ) | https://classroom.google.com/c/NzAwMzE1NDI0Njc2?cjc=qe5tbwkl | |
| 26 | Dr. V.P Patil | CSDOL7012 | Department Level Optional Course-3(AI for Healthcare Lab) | https://classroom.google.com/c/NzAwMzE1NDI0Njc2?cjc=qe5tbwkl | |
| 27 | Prof.Sarita Khedikar | CSDO7011 | Department Level Optional Course-3( Natural Language Processing) | https://classroom.google.com/c/Nzg5MDQ5NDAxNDk4 | |
| 28 | Prof.Sarita Khedikar | CSDOL7011 | Department Level Optional Course-3(Natural Language Processing LAB) | https://classroom.google.com/c/Nzg5MDQ5NzAyNjYx | |
| 29 | Prof.Indrani Baporikar | CSDO7022 | Department Level Optional Course-4(Blockchain Technologies) | https://classroom.google.com/c/NzkyMDE0NTUxMjk3?cjc=2uk3h74y | |
| 30 | Prof.Indrani Baporikar | CSDOL7022 | Department Level Optional Course-4(Blockchain Technologies Lab) | https://classroom.google.com/c/NzkyMDE0NTUxMjk3?cjc=2uk3h74y | |
| 31 | Prof.Vandana Nikam | CSDO7021 | Department Level Optional Course-4 (User Experience Design with VR ) | https://classroom.google.com/c/NzAwMzMwMjQ1NTQ2 | |
| 32 | Prof.Vandana Nikam | CSDOL7021 | Department Level Optional Course-4 (User Experience Design with VR Lab) | https://classroom.google.com/c/NzAwMzMwMjQ1NTQ2 | |
| 33 | Prof.Tularam Bansod | ILO7016 | Institute Level Optional Course-1( Cyber Security and Laws) | https://classroom.google.com/w/ODE3NTA4NzU5NTYw/t/all | |
| 34 | Prof. Dr Sumit Sharma | ILO7017 | Institute Level Optional Course-1(Disaster Management & Mitigation Measures) | https://classroom.google.com/c/Nzk0NDk5NjE0NTcy?cjc=6xhnrt6z | |
| 35 | Prof.Tularam Bansod | CSP701 | Major Project1 | https://classroom.google.com/c/NzAwNDc4MTQzNTY2 | |
