• Sportsplex 

  Chavan, Parvathi; Patil, Vivek Ashok (19AR16) (AIKTC, 2023-11)

  This dissertation aims to encourage Olympic-level sports in Maharashtra's Konkan division by exploring the connection between the importance of physical activity, social interaction, cultural identity, and the need for ...
• Trauma care centre 

  Prajapati, Sandeepkumar; Memon, Fardeen (19AR12) (AIKTC, 2023-11)

  A trauma center, is a specialized hospital equipped and staffed to treat patients suffering from major traumatic injuries such as falls, motor vehicle collisions, or gunshot wounds. Trauma continues to be a major global ...
• City nitty gritty 

  Gade, Kamlesh; Khot, Sharabil Simab (19AR10) (AIKTC, 2023-11)

  Urban squalor, which is characterised by filth, improper waste management, and social neglect, poses serious problems for cities all over the world. Public health is in danger, and residents' quality of life is compromised. ...
• Urban voids- reclaiming urban spaces 

  Gade, Kamlesh; Khan, Alishah (19AR07) (AIKTC, 2023-11)

  The increase in urban population has led to a decline in available of recreational spaces, resulting in the emergence of urban voids within cities. These neglected spaces, often viewed as wastelands due to inadequate ...
• Marine resource hub 

  Mhatre, Raj; Karbhaari, Aamaan (19AR06) (AIKTC, 2023-11)

  Title:“MARINERESOURCEHUB, Revitalizing harnai’s costal intrastructure for economic growth and environmental sustainability ” ThisthesisfocusesonthevitalroleofHarnai'sfishingharborinthecontextofIndia'sgrowingseafoodconsu ...
• Unseen boundries : lost communities 

  Rawool, Parag; Inamdar, Zaid (19AR04) (AIKTC, 2023-11)

  This thesis embarks on an exploratory study of the Turbhe abandoned quarry site in Mumbai, with a primary focus on addressing the complicated challenges and opportunities that have raised from decades of quarrying ...
• Tourist resort 

  Wadwalkar, Prajakta; Hawa, Muhammad (19AR03) (AIKTC, 2023-11)

  This study delves into the multifaceted tourism industry of Mandvi, a charming town nestled in Gujarat's Kutch region, India, offering a compelling case study in tourist development, given its rich historical past, ...
• Maharashtra museum 

  Prajapati, Sandeepkumar; Nadkar, Ali (19AR01) (AIKTC, 2023-11)

  This thesis delves into the exploration of Maharashtra's exceptionally rich cultural heritage. Maharashtra boasts a rich and diverse cultural heritage, with a legacy of tradition in religion, art, literature, theatre, and ...
• Seeing the unseen 

  Gade, Kamlesh; Vishwakarma, Varshika (18AR74) (AIKTC, 2023-11)

  This thesis examines the ever-changing relationship, between architecture and human emotions. It delves into how architectural design impacts. It is influenced by our emotional experiences. The study begins by exploring ...
• Sustainable approach to the medical school improving healthcare learning environment at parbhani 

  Chavan, Parvathi; Syeda, Ayesha Siddiqua (18AR70) (AIKTC, 2023-11)

  In the backdrop of Parbhani's cherished history and the pressing realities of healthcare access, this architectural thesis responds to the urgent need for quality healthcare education. Marathwada, including Parbhani, faces ...
• Paving the path ahead: innovations and opportunities for panvel city's market yard 

  Rawool, Parag; Kalse, Shubham (18AR21) (AIKTC, 2023-11)

  This document provides a comprehensive overview of the Panvel market yard, a century-old marketplace in India primarily focused on vegetable sales, serving as a central hub for vegetables from 196 villages to meet the ...
• DSD soft 

  Ansari, Abdul Majid; Pangarkar, Rabiya (19CO05); Khan, Shoab (19CO33); Khot, Shehzad (19CO35); Qurishe, Mohd Ziyaulhaq (19CO37) (AIKTC, 2023-05)

  Direct store delivery (DSD) software is a powerful solution that streamlines the delivery process for businesses that deliver products directly to stores or customers. This software system architecture includes components ...
• Didactic solutions 

  Qureshi, Rehaal; Khan, Muskan (19CO02); Khan, Sana (19CO03); Shaikh, Zikra (19CO08); Khan, Aftab (19CO23) (AIKTC, 2023-05)

  Didactic Solutions As technological advancements continue to reshape the corporate landscape, it is crucial to update training methodologies to improve work efficiency. E-Learning has emerged as a vital component of ...
• Eyedesk 

  Ansari, Abdul Majid; Shaikh, Nadir (15CO38); Sayyed, Sohail (18CO48); Kadav, Rutuja (19CO01); Thube, Vaishali (19CO09) (AIKTC, 2023-05)

  Improving efficiency and performance is an important topic in the world today.Our project Eyedesk includes registration of patients, storing their details into the system, and also booking their appointments with doctors.Our ...
• Voice controlled e-commerce 

  Nusrat Jahan; Mapari, Simran (19CO04); Shaikh, Alfiya (19CO62); Aga, Fiza (20DCO01); Patil, Aditi (20DCO07) (AIKTC, 2023-05)

  This project aims to develop a voice-controlled e-commerce platform that enables users to shop for products using voice commands. The project utilizes modern natural language processing and voice recognition technologies ...
• Product recommendation system using ML 

  Dange, Anas; Baig, Sahil (19CO49); Sirkazi, Ruzbihan (19CO48); Mohd., Aasif (19CO36); Ulde, Kais (19CO46) (AIKTC, 2023-05)

  Product Recommendation System Using ML In today’s modern epoch of information technology, the idea of efficiently finding one’s favourite product in a large dataset of application database, becomes an essential issue to ...
• Disease prediction using machine learning and image processing 

  Dange, Anas; Haddadi, Amir (19CO19); Khan, Shahrukh (19CO51); Husen, Mohd Altaf (19CO41); Qureshi, Mohd Zaki (19CO40) (AIKTC, 2023-05)

  Current machine learning models for healthcare analysis focus on one disease per analysis, such as diabetes, liver, malaria, pneumonia diseases. Our project aims to predict multiple diseases using machine learning algorithms, ...
• E-commerce Dapp 

  Mishra, Richa; Kadiri, Saud (19CO21); Khan, Anas (19CO24); Khan, Farhaan (19CO26); Shikalgar, Farhan (19CO56) (AIKTC, 2023-05)

  Improving efficiency and performance is an important topic in the world today. As it is well-known, cooperative computing is an effective and traditional approach, and it is widely used in various fields. Inspired by ...
• Stock analysis and prediction website 

  Mishra, Richa; Shaikh, Muhammad Huzaifa (18CO40); Bagdadi, Ameeruddin (19CO12); Khan, Raquib (19CO31); Qureshi, Mohammed Usman (19CO47) (AIKTC, 2023-05)

  In this project we attempt to implement machine learning approach to predict stock prices. Machine learning is effectively implemented in forecasting stock prices. The objective is to predict the stock prices in order ...
• Machine learning approach of price prediction 

  Jamkhandikar, Irfan; Mohammad Farhan, (19CO38); Shaikh, Afsar Ahmed (19CO52); Thokan, Naveed Naushad (19CO60) (AIKTC, 2023-05)

  This paper presents a Laptop price prediction system by using the supervised machine learning technique. The research uses multiple linear regression as the machine learning prediction method which offered 85% prediction ...

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